Remote AI Software Evaluator & Benchmark Engineer

Synthires

San Francisco (CA)

Remote

USD 83,000 - 165,000

Part time

16 hours ago
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Job summary

Synthires is seeking experienced Software Engineers to support AI-training and model-evaluation projects. This fully remote, worldwide opportunity requires 15+ hours per week and pays $60–$120 per hour equivalent for accepted tasks.

Ideal candidates have prior professional AI-training or model-evaluation experience and are proficient in Python, with strong skills in software design, debugging, testing, and version control. Flexible scheduling encouraged.

Qualifications

  • Prior paid professional experience training, evaluating, benchmarking, or improving AI systems.
  • Strong practical proficiency in Python.
  • Strong knowledge of software design, debugging, testing, version control, and dependency management.
  • Ability to assess code quality, identify technical issues, and validate software solutions.

Responsibilities

  • Create realistic and technically challenging software engineering tasks to assess advanced AI models.
  • Develop clear task instructions, reproducible environments, reference solutions, tests, and evaluation criteria.
  • Evaluate AI-generated code and technical deliverables for correctness, robustness, and completeness.
  • Identify issues involving implementation, debugging, dependencies, performance, testing, and reproducibility.
  • Assess software design decisions, code quality, and the reliability of proposed solutions.
  • Establish objective standards for evaluating technical submissions.
  • Provide structured feedback to support the improvement of AI coding capabilities.

Skills

Python
Code analysis
Version control

Tools

Linux
Docker
CI/CD
Sandboxed environments

Job description

Synthires is seeking experienced Software Engineers to support AI-training and model-evaluation projects. This fully remote, worldwide opportunity requires 15+ hours per week and pays $60–$120 per hour equivalent for accepted tasks.

Ideal candidates have prior professional AI-training or model-evaluation experience and are proficient in Python, with strong skills in software design, debugging, testing, and version control. Flexible scheduling encouraged.

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