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Open nowPosted 11 days ago

Quality Evaluator – Fluent English (Mexico)

Anyone AI217 open roles

Pay
$7 – $12 an hour
Where
Mexico - Fully Remote
Work mode
Remote
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Your applicationOpen nowQuality Evaluator – Fluent English (Mexico)Anyone AI · Mexico - Fully Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Anyone AI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Anyone AI postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 11 days ago

Anyone AI median: 13 days open

The posting

QUALITY EVALUATOR – ENGLISH

Help shape the future of AI by evaluating and comparing responses from advanced AI models.

- Location: Remote

- Type: Independent contractor / Part-time

- Commitment: up to 3 months

- Compensation: $7-$12/hour

ABOUT THE ROLE

At Anyone AI, we create high-quality training and evaluation data for frontier AI models.

We’re looking for English-fluent experts with strong writing skills, critical thinking, and extensive hands-on experience using large language models (LLMs).

In this role, you’ll interact directly with AI models and compare their responses side by side to determine which best meets the user’s needs. Your evaluations and written explanations will help improve the accuracy, helpfulness, and reliability of AI systems.

WHAT YOU’LL DO

- Interact with different AI models and tools across a wide range of prompts and topics.

- Compare two or more AI-generated responses side by side.

- Assess accuracy, helpfulness, instruction-following, clarity, and overall response quality.

- Follow detailed rating guidelines and multi-step evaluation workflows.

- Write clear, well-reasoned explanations supporting your evaluation decisions.

- Apply evaluation criteria consistently across tasks.

WHAT WE’RE LOOKING FOR

- Fluency in English, with strong reading comprehension and writing skills.

- Extensive hands-on experience using LLMs and critically assessing their outputs.

- Strong analytical judgment and the ability to weigh multiple dimensions of response quality.

- Excellent attention to detail and the ability to follow complex instructions carefully.

- Ability to explain evaluation decisions clearly and convincingly.

- Comfort switching between AI models, tools, and multi-step workflows.

NICE TO HAVE

- Previous experience in AI response evaluation, data annotation, or quality assurance.

- Experience in editing, research, fact-checking, or analytical writing.

- Familiarity with evaluation rubrics and side-by-side comparison tasks.

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  1. A CV for this posting

    Written against Anyone AI's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Anyone AI's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Anyone AI's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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