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LLM Evaluation Data Analyst

Assess AI-generated responses for accuracy, logic, relevance, and completeness while creating detailed feedback and training examples. This remote freelance assignment offers flexible work of 20+ hours per week.

OpenTrain AI

Generative AI & RLHF

100% Remote

Worldwide

Eligibility

Entry

Experience

Aug 25, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting an LLM Evaluation Data Analyst for freelance, part-time work supporting the development of large language models.

AI training work gives people a direct role in shaping how modern artificial intelligence understands information and responds to users. You can build experience, strengthen your OpenTrain profile, and grow a portfolio of work in this fast-moving field.

  • Remote freelance assignment
  • Part-time contractor opportunity
  • Worldwide availability
  • Work commitment of 20+ hours per week

About AI Training and Language Model Evaluation

Large language models improve through examples and feedback prepared by people. Contributors review written content, assess AI-generated responses, identify errors, and explain what makes an answer accurate, relevant, logical, complete, or consistent.

This work combines research, critical thinking, writing, and analytical reasoning. Your evaluations and training examples can help improve the quality and reliability of future AI systems.

  • Evaluate written AI-generated content
  • Provide human feedback for language-model improvement
  • Create questions, scenarios, examples, and explanations
  • Support high-quality training data

The Role

As an LLM Evaluation Data Analyst, you will assess AI-generated responses and written content against standards for accuracy, relevance, logic, completeness, and consistency. You will research claims, break down complex information, solve reasoning-based problems, and provide detailed annotations that explain your decisions.

The assignment is well suited to careful, analytical communicators who can work independently and apply sound judgment when information is ambiguous or incomplete.

  • Subject matter: Large language model response evaluation
  • Experience level: Entry level
  • Language: Strong written and reading English
  • Data type: Text
  • Workload: 20+ hours per week

What You’ll Do

You will review model outputs, validate information, and create feedback that helps improve evaluation methods and language-model training workflows. The work requires consistent quality standards and the ability to explain your reasoning clearly in writing.

  • Evaluate AI-generated content for accuracy, relevance, logic, completeness, and consistency.
  • Break down complex information into clear logical components.
  • Conduct online research and validate claims.
  • Analyze data, trends, distributions, and scenarios to identify meaningful insights.
  • Solve analytical and reasoning-based problems.
  • Create scenarios, questions, examples, and explanations for language-model training.
  • Identify incorrect or incomplete responses and determine the correct answer.
  • Write detailed annotations explaining why an answer is correct or incorrect.
  • Provide constructive feedback while maintaining high standards for quality and accuracy.
  • Contribute to improving evaluation methods and workflows.

Requirements

You should be able to read and write English fluently enough to evaluate nuanced AI-generated content and explain judgments precisely. The role also requires strong analytical reasoning, research ability, attention to detail, and a consistent approach to quality review.

You must be comfortable working independently in a remote environment and have a reliable computer and internet connection. Basic knowledge of Excel or Google Sheets is required.

  • Strong written and reading English
  • Analytical reasoning, critical thinking, research, and problem-solving skills
  • Ability to validate claims and handle ambiguous problems
  • Ability to identify inaccurate or incomplete responses and determine appropriate answers
  • Clear written communication for annotations and constructive feedback
  • Careful attention to detail and consistent quality judgment
  • Basic knowledge of Excel or Google Sheets
  • Ability to work independently in a remote environment
  • Reliable computer and internet connection

Helpful Background

Experience with Python, data analysis, online research, written content evaluation, or language-model feedback can be useful, but the role is listed at entry level. Candidates who enjoy breaking down complex information and explaining their reasoning clearly may be especially well suited.

  • Python experience
  • Data analysis experience
  • Online research experience
  • Written content evaluation experience
  • Prior language-model feedback experience

Why Build Your AI Training Career With OpenTrain

OpenTrain helps freelancers discover AI training opportunities, manage their work, and build a unified portfolio that demonstrates credible experience. A stronger profile can help you find assignments that match your skills and develop AI training and data-labeling work into a longer-term career.

Creating an OpenTrain account is free, and you can apply in minutes. This role offers the flexibility of remote, part-time contractor work while giving you practical experience evaluating the systems shaping the future of AI.

  • Work remotely from anywhere in the world
  • Choose flexible part-time AI training work
  • Build a portfolio of language-model evaluation experience
  • Apply through OpenTrain with a free account

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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