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LLM Content Evaluation Analyst

The Work

You will evaluate written content and large language model outputs to help improve how AI answers questions. The work combines careful reading, online research, logical reasoning, text accuracy checks, and clear written feedback.

Read, summarize, and divide large content into smaller logical sections.
Answer analytical questions and create scenarios that reveal weaknesses in model reasoning.
Research information online and validate claims made in written content.
Correct inaccurate model answers and explain the reasoning behind accurate answers.
Analyze examples such as sales trends across locations and rule-based logic problems.
Add detailed annotations and constructive feedback while checking text accuracy and formatting.

What the Role Requires

This is an entry-level, part-time contractor role. Experience with quality assurance, data annotation, content review, or professional writing is useful, as is study in an analytical, writing, communications, or technical field.

Availability of 20 or more hours per week.
Open worldwide.
Fluent English reading and writing comprehension.
Strong research, analytical, logical reasoning, and basic arithmetic skills.
Creative and lateral thinking, with the ability to explain decisions clearly.
Ability to work independently with a reliable computer and internet connection.
Familiarity with Excel and Google Suite is valued.
Helpful backgrounds include business analysis, research analysis, journalism, copywriting, technical writing, editing, translation, communications, literature, arts, engineering, and statistics.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this role and start the application; it does not employ or pay contributors for the work.

About AI Training Work

AI training is the human work behind systems that learn from examples. Contributors review content and model responses, identify errors, and explain better answers so AI systems can improve; people with relevant experience or specialist knowledge may qualify for higher-paid projects.