Explore Opportunities

Scope of Work
Analyze, evaluate, and annotate a variety of data sets to support AI system training and validation.
Deliver clear, high-quality written input and feedback based on project requirements.
Participate in reviewing, refining, and improving model outputs to ensure relevance and accuracy.
Engage in problem-solving tasks that require critical thinking and depth of understanding across multiple domains.
Follow project guidelines and participate in quality assurance processes to consistently meet deliverable standards.
Communicate findings and insights effectively through both written and verbal channels.
Demonstrate strong attention to detail in all aspects of contribution.

Preferred Qualifications
Exceptional command of written and spoken English.
Strong critical thinking and analytical skills.
Proven ability to deliver precise, detail-oriented work in independent and collaborative settings.
Experience with any type of data labeling or annotation projects (a plus, but not required).
Comfort working in a fully remote, digital-first environment.
Strong commitment to fulfilling project requirements on time and to a high standard.

As a regulatory expert on this project, you would own a part in multiple workflows:

1. Clinical Data Generation: we need to validate that each data room and its documents hold up against FDA evidentiary standards and formatting expectations, including the deliberate defects planted to test regulatory judgment.

2. FDA RFI task authorship: you must be capable of authoring information requests and model responses, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

Develop AI Training Content: Create detailed prompts and gold-standard answers across nursing care topics (assessment, triage, safety, education, documentation).
Optimize AI Performance: Evaluate and rank AI responses to enhance accuracy, safety, clarity, and contextual relevance.
Ensure Model Integrity: Test AI outputs for potential inaccuracies, unsafe guidance, and bias; validate reliability across use cases.

Develop AI Training Content: Create detailed prompts and gold-standard answers across oral health, dental diagnosis, treatment planning, emergencies, prescribing, and patient counseling.
Optimize AI Performance: Evaluate and rank AI responses to improve correctness, safety, clarity, and contextual relevance.
Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe recommendations, and bias; validate reliability across patient populations and use cases.

Develop AI Training Content: Create detailed prompts across React/Next.js topics and write high-quality reference answers to guide AI learning.
Optimize AI Performance: Evaluate and rank AI responses to enhance correctness, clarity, accessibility, and performance.
Ensure Model Integrity: Test AI models for inaccuracies or unsafe recommendations, validating reliability across real-world use cases.

Job Details:
Evaluate Paired Video Outputs: Watch two short video clips presented side by side and compare them against a provided rubric across dimensions such as prompt adherence, motion quality, visual artifacts, and physical plausibility.

Score and Justify Preferences: Assign rubric scores to each clip, select an overall preference between the two, and document a brief written justification supporting the decision where prompted.

Maintain Scoring Consistency: Apply the same standard across high task volumes, holding calibration to the rubric steady so that judgments remain reliable and comparable throughout a production run.

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.

What you'll do
Compare AI-generated versions of the same deliverable and score them across layout & spacing, typography, colour, domain realism, and polish
Take the strongest candidate and rework it to reference quality
Provide clear justifications tied to specific layout evidence (alignment, spacing, balance, grouping, density)
Bring your design judgment to real corporate client materials

You're a good fit if you
Have a background as a designer, marketing/comms professional, or knowledge-work specialist — management consulting, investment banking, in-house corporate design, agency work, and marcom all fit
Spot subtle layout inconsistencies most people miss: alignment gaps, unequal card heights, dead space, margin discipline
Are opinionated about what "good" looks like in a business deliverable and can articulate it in writing
Care about how work is presented, not just what it says

TELUS Digital is building a global community of experts to evaluate, challenge and improve advanced AI systems.
We are looking for university students, graduates, researchers and experienced professionals with expertise across Artificial Intelligence, Machine Learning, LLMs, Mathematics, Science, Engineering, Linguistics, Cybersecurity, Psychology, Law, Healthcare, Finance, Education and other specialist disciplines.

Work through tasks on our partner's platform, applying the same judgment you would apply on the job; Write and review model responses, explanations, and reference material to a professional standard; Correct model output where it is wrong and set out clearly why it is wrong; Produce context files and worked examples the model can learn from; Act on reviewer feedback and hold your quality across the full 12 weeks; Log 30 to 40 hours a week and keep your throughput steady; Work from your own expertise, without LLM assistance on projects that do not permit it.

About the role
We are hiring expert Evaluators in Legal / compliance to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement.

We’re looking for US or Canada-based generalist experts to help train and evaluate frontier AI models. In this role, you’ll review and assess a wide range of everyday professional content — documents, slides, spreadsheets, and other written materials — judging them for quality, accuracy, clarity, and completeness. Your feedback directly shapes how AI systems reason about and produce real-world work product.

This is a great fit if you’re a sharp, detail-oriented generalist who’s comfortable moving across different formats and subject areas. You don’t need deep specialization in any one field — strong judgment, careful reading, and clear written reasoning matter most.

What you’ll do

Review and evaluate documents, slides, spreadsheets, and similar materials for quality and correctness

Provide clear, well-reasoned written feedback and ratings

Compare and rank AI-generated outputs against defined criteria

Flag errors, inconsistencies, and gaps in reasoning or formatting

Role Overview

Mercor is seeking senior sales and marketing professionals to build evaluation tasks for AI systems operating in Fortune 500 go-to-market contexts.

The workflows are calibrated to the deal sizes, stakeholder complexity, and brand stakes of Fortune 500 and large public companies.

Contributors design enterprise GTM scenarios, draft reference outputs, and write rubrics that capture how senior F500 operators think.

Key Responsibilities

Construct enterprise sales scenarios spanning $1M+ ACV deals, multi-stakeholder buying committees, and complex procurement cycles at F500 accounts.

Build marketing tasks across F500 brand strategy, enterprise ABM, demand generation at scale, lifecycle, and category positioning.

Develop RevOps and GTM scenarios involving Salesforce Enterprise, Marketo, 6sense, Gong, and Outreach in F500 stacks.

Apply enterprise sales methodologies (MEDDIC, Challenger, Force Management) and produce reference deal strategies, account plans, and executive narratives.

Author rubrics that distinguish authentic enterprise GTM judgment from generic playbook recall.

Key Responsibilities

Documentation & Coding Review

Review clinical documentation for accuracy, completeness, and coding integrity

Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards

Validate alignment between clinical documentation and assigned codes

What you'll do
Read a synthetic legal matter and its underlying documents
Review six blinded AI deliverables (labelled A–F) for that matter
Make five head-to-head comparisons against a common comparator output
Write a short, specific rationale for every preference
Practice scope
International arbitration and award enforcement, sanctions and export controls, cross-border disputes and emergency interim relief.

We are looking for individuals to collect video of themselves performing natural, everyday activities across a variety of indoor, outdoor, and vehicle environments.

Collection may include third-person recordings of everyday activities as well as vehicle navigation tasks.

Camera Requirements
You must already own or have access to a compatible camera with:
- A minimum 170° field of view (FOV)
- A minimum recording resolution of 720p

What you'll do
Read a synthetic legal matter and its underlying documents
Review six blinded AI deliverables (labelled A–F) for that matter
Make five head-to-head comparisons against a common comparator output
Write a short, specific rationale for every preference

Practice scope
International arbitration and award enforcement, sanctions and export controls, cross-border disputes and emergency interim relief.

Requirements
Qualified lawyer with substantive practice experience in the areas above
Able to judge work product holistically — correctness, completeness, judgment, usefulness
Precise written English
Able to work independently to written instructions and a deadline

Key Responsibilities

Work through tasks on our partner's platform, applying the same judgment you would apply on the job; Write and review model responses, explanations, and reference material to a professional standard; Correct model output where it is wrong and set out clearly why it is wrong; Produce context files and worked examples the model can learn from; Act on reviewer feedback and hold your quality across the full 12 weeks; Log 30 to 40 hours a week and keep your throughput steady; Work from your own expertise, without LLM assistance on projects that do not permit it.

Ideal Qualifications

PhD or MBA in a quantitative field, completed or in progress; At least 3 years of non-academic professional experience in data science or applied analytics; Strong Python and SQL, with real statistical grounding behind the tooling; Experience designing and reading experiments; Able to write up an analysis clearly enough for a peer to challenge it; Based in the United States, United Kingdom, Ireland, Canada, or Australia.

What We're Researching
We're hiring technical accounting and FP&A experts to help build reinforcement learning environments for AI systems. This work focuses on creating complex financial scenarios, defining edge cases, and establishing evaluation rubrics. Your contributions will directly improve how artificial intelligence handles sophisticated financial and accounting tasks.

What We're Researching
We're running a paid study on what it's actually like to set up and live with a brand-new Android phone. We want to understand where the first month goes smoothly and where it gets confusing — from unboxing and data migration to discovering features weeks later. This research feeds directly into how mobile operating systems guide people through setup.

Please Read This Before Applying
This study asks more of you than a typical survey. We would rather you know everything up front than discover it halfway through.

You buy the phone yourself, and we reimburse you in full. You will purchase either a Google Pixel 11 or a Samsung Galaxy Z Flip8 between 28 September and 4 October 2026, in person at a Telekom, Vodafone or O2 store in Germany. You pay at the time of purchase. We reimburse the full device price in two payments. The $368 study compensation is separate and on top of that reimbursement.