About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.

We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.

If you want to do work that materially shapes how the next generation of AI products gets built, we’d love to talk.

Graphic Design Expert

Location: Remote

Type: Part-Time Contract (20 hours per week for 4 weeks | 80 hour minimum commitment)

Duration: 4 weeks with potential for ongoing work

Compensation: Up to $25/hour for US-based candidates

About the Project

You’ll examine designs to understand color schemes, font choices, and other design elements. You will then review a slide within that design that seems out of place. Leveraging your graphic design expertise, along with what you learn in our training, you will edit the incorrect slide to match the rest of the overall design. This is all in an effort to train AI models that assess design effectiveness—contributing to cutting-edge technology that advances how AI understands and evaluates visual content quality.

What You’ll Do

• Review designs in Canva Editor to examine various design dimensions:
  • Typography quality (readability, hierarchy, font pairing appropriateness)
  • Visual hierarchy effectiveness (clarity, balance, focal point strength)
  • Design element execution (icon quality, illustration polish, image selection)
  • Color palette effectiveness (harmony, contrast, accessibility)
  • Layout and composition quality (grid usage, spacing, alignment)
  • Overall design effectiveness and professional polish
• Identify flaws in one slide within the overall design. These flaws may be minor, like simple font size issues. They may be major, requiring a full reconstruction of the slide
• Using the other slides in the design as reference, edit the flawed slide to build more cohesion across the entire design
• Process high volumes of design samples with sustained attention to detail
• Meet quality benchmarks for rating consistency and inter-rater reliability

Basic Qualifications

Required Experience

• Formal training in graphic design, visual arts, or related field(degree, certificate, or bootcamp completion) OR 2-3 years of professional graphic design experience
• Fully proficient at intermediate to expert level in Canva Editor
• Strong proficiency in design principles (composition, color theory, typography, visual hierarchy)
• Ability to objectively critique and evaluate design work against industry standards
• Understanding of what constitutes effective vs. ineffective design choices
• Experience reviewing or providing design feedback
• Exceptional attention to detail and ability to maintain focus during repetitive tasks

Skills & Attributes

• Comfort with highly repetitive work—ability to maintain quality and engagement while rating similar content for extended periods
• Strong visual discrimination and consistent aesthetic judgment
• Reliability and consistency in your evaluation standards
• Self-motivated with ability to work independently on repetitive tasks
• Excellent focus and concentration for sustained periods
• Strong communication skills for flagging edge cases or unclear examples
• Comfortable with feedback and re-calibration
• Minimum 20 hours per week availability for at least 4 weeks, with potential to extend

Nice-to-Haves

Preferred Background

• Portfolio demonstrating diverse design work and critical eye
• Experience as a design reviewer, art director, or in quality assurance roles
• Understanding of accessibility standards (WCAG, inclusive design principles)
• Knowledge of design across multiple contexts (branding, editorial, digital, UX/UI)
• Experience teaching or mentoring design concepts

Technical Experience

• Experience with Canva Editor
• Prior data annotation, content moderation, or quality evaluation experience
• Exposure to machine learning or computer vision concepts
• Familiarity with design systems and component libraries

Work Style

• High tolerance for repetitive evaluation tasks—finds rhythm and satisfaction in systematic work
• Ability to maintain consistent standards across thousands of ratings
• Strong pattern recognition—quickly identifying quality patterns across examples
• Disciplined, methodical approach with minimal variation in judgment
• Problem-solving mindset for handling ambiguous or borderline cases
• Interest in AI/ML applications in design and creative fields
• Previous remote work experience with self-directed tasks

What Makes Someone Successful in This Role

You thrive on consistency and repetition- You find satisfaction in systematic work and can maintain quality standards while evaluating similar content repeatedly without losing focus or accuracy.

You have a calibrated design eye- You can quickly assess design quality against objective criteria and apply the same standards consistently across hundreds or thousands of examples.

You’re objective and principled- You separate personal taste from professional assessment, basing ratings on established design principles rather than subjective preference.

You maintain sustained focus- You can work through high volumes of repetitive tasks while staying sharp and attentive to subtle quality differences.

You’re a clear communicator- You flag confusing examples or rating criteria early, ask clarifying questions, and document edge cases clearly.

You’re curious about technology- You’re genuinely interested in how AI learns to evaluate design quality and see value in contributing to machine learning training data.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Job Type: Contract, Part-time

Location: Remote

Role Description

In this hourly, remote contractor role, you will work as a Copywriting & Content Subject Matter Expert (SME) to review AI-generated marketing/content-writing outputs and/or create expert copy and content, evaluating reasoning quality, intent alignment, and step-by-step writing decisions while providing precise written feedback. You will assess solutions for accuracy, clarity, brand fit, tone, and adherence to the prompt; identify issues in logic, messaging, audience targeting, claims/compliance risk, structure, and style; fact-check statements where needed; write high-quality explanations and model outputs that demonstrate strong copywriting technique; and rate and compare multiple responses based on effectiveness, correctness, and reasoning quality. This role is with a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your copywriting expertise directly helps improve the world’s premier AI models by making their writing more persuasive, accurate, on-brand, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Your Profile

• Bachelor’s degree (or higher) in Communications, Marketing, Journalism, English, or a related field (or equivalent professional experience).
• 5+ years of professional experience in copywriting, content writing, editorial, content marketing, or brand storytelling.
• Strong command of brand voice, tone adaptation, and audience-aware writing (B2B and/or B2C).
• Ability to evaluate and improve writing for clarity, structure, persuasion, and consistency, including headlines, CTAs, and narrative flow.
• Demonstrated ability to spot and correct factual errors, weak reasoning, overclaims, and potential compliance issues (especially in regulated domains).
• Familiarity with common content formats: landing pages, email campaigns, blog posts, ads, social posts, product copy, scripts, and long-form guides.
• Comfort providing specific, actionable feedback and writing gold-standard rewrites with rationale; minimum C1 English proficiency.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, content QA, editorial operations, or style-guide governance is strongly preferred.
  
  

Key Responsibilities

• Develop AI Training Content: Create detailed prompts and gold-standard copy/content across multiple formats and industries to guide AI learning.
• Optimize AI Performance: Evaluate and rank AI responses to improve clarity, persuasion, tone match, and factual reliability.
• Ensure Model Integrity: Test AI outputs for inaccuracies, hallucinated claims, bias, unsafe advice, and brand-risk issues; validate reliability across use cases.

Job Type: Contract, Part-time

Location: Remote

Role Description

In this hourly, remote contractor role, you will work as a Copywriting & Content Subject Matter Expert (SME) to review AI-generated marketing/content-writing outputs and/or create expert copy and content, evaluating reasoning quality, intent alignment, and step-by-step writing decisions while providing precise written feedback. You will assess solutions for accuracy, clarity, brand fit, tone, and adherence to the prompt; identify issues in logic, messaging, audience targeting, claims/compliance risk, structure, and style; fact-check statements where needed; write high-quality explanations and model outputs that demonstrate strong copywriting technique; and rate and compare multiple responses based on effectiveness, correctness, and reasoning quality. This role is with a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your copywriting expertise directly helps improve the world’s premier AI models by making their writing more persuasive, accurate, on-brand, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Your Profile

• Bachelor’s degree (or higher) in Communications, Marketing, Journalism, English, or a related field (or equivalent professional experience).
• 5+ years of professional experience in copywriting, content writing, editorial, content marketing, or brand storytelling.
• Strong command of brand voice, tone adaptation, and audience-aware writing (B2B and/or B2C).
• Ability to evaluate and improve writing for clarity, structure, persuasion, and consistency, including headlines, CTAs, and narrative flow.
• Demonstrated ability to spot and correct factual errors, weak reasoning, overclaims, and potential compliance issues (especially in regulated domains).
• Familiarity with common content formats: landing pages, email campaigns, blog posts, ads, social posts, product copy, scripts, and long-form guides.
• Comfort providing specific, actionable feedback and writing gold-standard rewrites with rationale; minimum C1 English proficiency.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, content QA, editorial operations, or style-guide governance is strongly preferred.
  
  

Key Responsibilities

• Develop AI Training Content: Create detailed prompts and gold-standard copy/content across multiple formats and industries to guide AI learning.
• Optimize AI Performance: Evaluate and rank AI responses to improve clarity, persuasion, tone match, and factual reliability.
• Ensure Model Integrity: Test AI outputs for inaccuracies, hallucinated claims, bias, unsafe advice, and brand-risk issues; validate reliability across use cases.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and...

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and...

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving...

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We’re Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

• Structuring ambiguous client problems into workable analytical plans
• Building financial models, market analyses, or synthesized findings from messy inputs
• Producing client-ready deliverables under time pressure
• Forming and defending recommendations under uncertainty

No deep technical background is required — we will onboard you on the lightweight tools involved.

What You’ll Do

• Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
• Design structured consulting tasks for AI agents— break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
• Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements

• 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
• Strong structured problem-solving and hypothesis-driven thinking
• Ability to translate vague problems into clear analytical steps and deliverables
• High attention to logical consistency and output quality
• Independent, self-directed working style
• Clear written English (B2+)

About Perle Join Perle as an Expert Audio Transcriber (Tagalog/Filipino) and play a vital role in shaping the future of AI.

Headquarters: Seattle, WA
URL: https://www.linkedin.com/company/howie-howie/

We’re building AI systems that help busy professionals manage scheduling, communication, and operational coordination at a very high standard.

We’re looking for sharp, fast-thinking operators to help train and improve our AI executive assistant systems.

This is not traditional data labeling. The role requires judgment, attention to detail, communication intuition, and the ability to make nuanced decisions quickly in fast-moving situations.

What You’ll Do

• Review and improve AI-generated scheduling and communication workflows
• Identify unclear, risky, or incomplete AI responses
• Make judgment calls around calendars, timing conflicts, customer preferences, and tone
• Ensure messages are specific, actionable, and context-aware
• Flag edge cases and operational issues that could impact customer experience
• Help train the AI to behave more like a thoughtful human assistant
• Work quickly while maintaining strong accuracy and consistency

Ideal Candidates

You may be a fit if you:

• Thrive in fast-paced environments
• Have strong written communication instincts
• Naturally catch details others miss
• Can think critically without relying heavily on rigid rules
• Are comfortable making decisions with imperfect information
• Learn systems quickly and adapt to changing workflows
• Have experience in operations, executive assistance, hospitality, customer support, coordination, recruiting, or similar high-context work

You do not need to be an engineer or technical expert.

Requirements

• Excellent English communication skills
• Strong internet connection
• MacBook required
• Ability to work independently and manage time effectively
• Comfortable receiving direct feedback and iterating quickly
• Available for consistent weekly hours

Nice to Have

• Experience supporting executives or clients
• Familiarity with AI tools such as ChatGPT or Claude
• Experience in startups, operations, scheduling, or remote support environments
• Strong pattern recognition and organizational instincts

What Success Looks Like

Successful trainers are:

• Fast without being careless
• Calm under pressure
• Thoughtful communicators
• Highly reliable
• Able to balance customer experience with operational efficiency
• Comfortable owning decisions rather than escalating every edge case

To apply: https://weworkremotely.com/remote-jobs/stealth-ai-startup-remote-nuanced-ai-data-training

Headquarters: San Francisco, CA
URL: http://bit.ly/3kLhMdk

About Contra Labs Contra Labs sits at the intersection of human creativity and AI. We partner with leading AI labs and product companies to improve their tools across design, video, development, and beyond. Our research is grounded in how top creatives actually work, studying the patterns behind what gets created, what gets chosen, and what resonates. We believe human input will always be at the center of net new creation, and our mission is to help shape technology so human creativity can be amplified to create what today is unimaginable.   By joining the Contra Labs network you gain access to paid projects with some of the most innovative companies building the next generation of creative and AI-powered tools.   How It Works This is an application to join the network and be eligible for roles as they arise. Projects are staffed on an as-needed basis, we have an immediate need for talented graphic designers with ongoing availability. Once you are accepted, we'll reach out with details and timeline.   To Join the Network

• Portfolio review - We'll assess your personal portfolio and Contra profile for strength in graphic and visual design.
• Video interview - You'll record a brief video sharing more about your experience and your approach to graphic design.
• Skills assessment - If accepted, you'll complete a short assessment aligned to the types of tasks you'd work on (e.g., evaluating AI-generated graphic design outputs, providing structured feedback on composition and visual quality).

What You May Work On

• Evaluate AI-generated graphic design outputs across formats including illustrations, layouts, infographics, and print-ready assets
• Provide clear, structured feedback on composition, color theory, typography, visual balance, and overall design craft
• Help define creative benchmarks and taste standards for what great graphic design looks like in the next generation of AI-powered tools
• Contribute to research on how convergence (shared best practices) and divergence (individual taste and creative direction) shape graphic design quality

What We're Looking For

• Strong portfolio showcasing high-quality graphic design work across a range of formats and mediums, shared via your Contra profile
• Deep understanding of design fundamentals including composition, color, typography, and layout
• Ability to articulate creative feedback on graphic design clearly and constructively
• Comfort working in fast-paced, experimental environments (experience with AI or design tools is a

To apply: https://weworkremotely.com/remote-jobs/contra-graphic-designer-5

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI...