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Added 21 Oct 2026New on Thriveth

Tooling Engineer

We are seeking highly qualified Domain Experts (SMEs) to support the evaluation, testing, and improvement of advanced Large Language Models (LLMs).

Remote

Hiring companyTuring

Application process2.0 / 5Based on 1 review

Work experienceN/ANo approved reviews yet

About the role

You will apply your subject-matter expertise to assess AI-generated responses, identify knowledge gaps, design challenging prompts, and improve model accuracy, reliability, and reasoning.

Strong analytical and critical-thinking abilities.
Exceptional attention to detail.

The ideal candidate is curious, detail-oriented, and deeply knowledgeable in their field. They enjoy solving complex problems, challenging assumptions, and identifying subtle factual or reasoning errors. Experience designing prompts that uncover model limitations and improve AI performance will be a strong advantage.

Responsibilities

Create complex, domain-specific prompts to test LLM capabilities.
Evaluate AI-generated responses for factual accuracy, reasoning, relevance, and overall quality.
Identify factual errors, logical inconsistencies, knowledge gaps, and model weaknesses.
Develop challenging test cases and edge cases that expose model limitations.
Provide clear, detailed, and evidence-based feedback to improve model performance.

Preferred skills

Experience working with LLMs or Generative AI.
Familiarity with prompt engineering, AI evaluation, or model testing.
Experience designing challenging prompts, identifying edge cases, or stress-testing AI models.

Experience and education

Master’s degree or higher in a relevant field.
At least three years of professional, research, or teaching experience.

Language requirements

Excellent written English communication skills.

Eligibility

Work arrangement: Fully remote

More about the hiring companyTuring

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Thriveth may earn a referral bonus if you use this link and meet Turing’s referral conditions. Using the referral link is optional and does not improve your selection chances or affect how we present the listing. Rewards vary by role. Turing determines whether a referral qualifies. Generally, the candidate must be new to Turing, the referral must be credited to the first referrer through Turing’s portal or public referral page, and the candidate must be hired, complete onboarding, and meet the required work milestone—normally at least 10 worked hours. Candidates already in Turing’s applicant system, already under consideration or otherwise known to Turing, current or former employees or contractors, and candidates who applied directly within the previous 90 days do not qualify under the reviewed terms. Referrers must obtain consent before submitting a candidate’s personal information. Rewards remain subject to Turing’s current terms, eligibility checks, and program changes; payment is not guaranteed. Thriveth is independent of Turing. Using it does not affect job order, ratings, or reviews.

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