Software Engineer - LLM Developer
Keystone Recruitment
Job Overview
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Job Description
Software Engineer - LLM Developer
Overview: Engage as an independent contractor on a fully remote hourly contract. Leverage your software engineering skills to refine AI prompts, validate algorithms, and support benchmarking efforts.
Key Responsibilities
Review and refine AI-generated prompts, responses, and code. Validate algorithms and software concepts for technical accuracy. Provide structured feedback on solution quality and clarity. Tag and organize content by topic, difficulty, or language. Support benchmarking efforts to assess model capabilities.
Ideal Qualifications
- 2+ years of experience in software engineering or technical research.
- Bachelor’s in Software Engineering, Computer Science, or related field (advanced degree preferred).
- Proficiency in Python, JavaScript, Java, or C++.
- Experience with debugging, testing, and validating code.
- Comfortable with technical writing and meticulous attention to detail.
Project Timeline & Work Details
Start Date: ImmediateDuration: 1–2 monthsCommitment: Part-time (15–25 hours/week, flexible up to 40 hours/week)This role is fully remote.
Application & Onboarding Process
Upload your resume followed by a short 15-minute AI interview to discuss your background, experience, and interest. Expect follow-up communication within a few days with next steps and onboarding details.
Contract and Payment Terms
Engagement as an independent contractor with weekly payments via Stripe or Wise. Projects may be extended or concluded based on performance. Note: H1-B and STEM OPT candidates are not supported.
Key skills/competency
- AI prompt review
- Algorithm validation
- Code debugging
- Technical writing
- Content tagging
- Benchmarking
- Python
- JavaScript
- C++
- Software engineering
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study mission, recent news, and reviews.
- Customize your resume: Highlight AI and software engineering skills.
- Prepare for the AI interview: Practice concise technical answers.
- Emphasize your debugging skills: Showcase real examples in your resume.
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