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...

Posted 6:53:36 PM. Position: AI Evaluation SpecialistType: ContractCompensation: $22 - $70/hourLocation:…See this and similar jobs on LinkedIn.

Role OverviewJoin a high-selectivity evaluation program focused on reviewing complex written…

Headquarters: San Francisco
URL: http://workada.co

Who We Are

Workada creates high-quality labeled data for advanced technology systems. Our team reviews, organizes, categorizes, evaluates, and quality-checks digital content so those systems can better understand information and perform real-world tasks.
We believe careful data work matters. Every reviewed item, categorized example, and quality-checked task helps improve how technology interprets information, follows instructions, and responds in practical settings.

About You

We're hiring detail-oriented individuals who are comfortable working on a computer and interested in careful, focused digital work. We're especially interested in:

• People who can carefully review written information, images, documents, or other digital content
• Strong readers and writers with good judgment
• People who can follow detailed instructions consistently
• Individuals who are comfortable using web-based tools and online platforms
• People who take quality seriously and can spot mistakes or inconsistencies
• Those who enjoy focused, independent work while contributing to a larger project
• Strong character matters — we value integrity, reliability, curiosity, and a commitment to high-quality work

Qualifications

• Comfortable using a computer for extended periods
• Reliable internet connection
• Strong attention to detail
• Ability to follow written guidelines and project instructions
• Clear written communication skills
• Basic familiarity with spreadsheets, online forms, or web-based work tools
• Ability to work independently and meet deadlines
• Prior experience in data labeling, annotation, quality review, research, writing, customer support, operations, or administrative work is helpful but not required

Compensation

Compensation is $18- $22 an hour and a max of 40 hours a week.

A Place to Do Meaningful Work

Data labeling may sound simple, but it plays an important role in improving the technology people use every day. At Workada, your work helps create the examples and feedback that make advanced systems more accurate, consistent, and useful.

We're looking for people who care about accuracy, consistency, and careful judgment. Whether you're reviewing text, categorizing information, evaluating responses, or checking data quality, your work helps improve the way technology performs.

To apply: https://weworkremotely.com/remote-jobs/workada-data-labeling-specialist-remote-contract-work-18-22-per-hour

Wing Data is looking for Freelance Video Data Contributors to support one of our clients AI training projects through short video-based tasks.

In this role, you will complete 5, 10, or 15-minute video sessions by either responding to prompts individually or taking part in short guided conversations. These recordings will be used to help train and improve our clients AI speech systems.

This is a flexible, project-based opportunity rather than a full-time or monthly position. Work is assigned based on availability, and tasks may range from a single 5-minute session to several hours of work.

Preferred Languages:

• Bengali

• Marathi

• Tamil

• Telugu

• Kannada

• Gujarati

• Punjabi

• Hindi

• Hindi + English -> Hinglish

• Malayalam

Responsibilities

• Complete short video recordings or conversation tasks for AI training purposes.
• Follow clear project instructions to ensure natural, accurate, and usable speech data.
• Join tasks when available; assignments may range from a few minutes to multiple hours.
• Submit recordings through the designated online workflow or platform.

What You’ll Need

• Fluency in the target language ( Bengali, Marathi, Tamil, Telugu, Kannada, Gujarati, Malayalam, Punjabi, Hindi, Hinglish )
• Ability to follow instructions and produce clear voice data consistently in the target language
• A computer with reliable internet access.
• A decent microphone and webcam.
• Legal authorization to work in your country.

What To Expect

• Remote, freelance, task-based work
• Short assignments, usually 5, 10, or 15 minutes.
• Work is offered on an as-available basis, so task volume can vary from a single short session to several hours in a given period.

Compensation

• You will be paid $2 USD - $4 USD Per Hour
• Pay is structured around an hourly rate and prorated by task length.
  • For example: A 5-minute task would pay roughly one-twelfth of the hourly rate.

$2 - $4 an hour

Important: After submitting your application, please complete our short screening form here:

[ https://forms.gle/WDgS64Nvai4RZHaP6 ].

We will ONLY review candidates who complete both the application and the screening form. The form takes about ~2 mins to complete.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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...

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...

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...

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.

We are looking for a Book Reviewer to evaluate the accuracy and depth of AI-generated content and provide clear feedback to improve training data quality.

As an AI Trainer - Junior Journalist, you will help train AI models by crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.

Project OverviewWe are sourcing independent Business Owners across the food, lodging, service, and shopping sectors to provide their practical expertise for an AI benchmark evaluation and product feedback project. As AI models and digital commerce platforms increasingly integrate local business data, search mapping workflows, and automated merchant tools, their accuracy relies entirely on authentic, real-world verification. The objective of this project is to autonomously evaluate merchant-facing features, audit local search representation, and deliver structured feedback to refine AI-driven commerce systems.Project Deliverables & ScopeOperate autonomously to evaluate digital merchant tools and provide structured business data. Expected deliverables include:

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+)