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Embedded / Systems Engineer (C) – AI Code Analysis | Remote

Crossing Hurdles

Remote (Global) Contract Senior $60 – $100/hr 2w ago

About the role

Overview

Position: Software Engineering, Data Science, and Systems Design Experts, C language (5+ YOE)

Type: Hourly contract

Compensation: $60-$100 per hour

Location: Remote

Commitment: Full-time or Part-time Contract Work

Role Responsibilities

  • Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness
  • Conduct fact-checking using trusted public sources and authoritative references
  • Conduct accuracy testing by executing code and validating outputs using appropriate tools
  • Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
  • Assess code quality, readability, algorithmic soundness, and explanation quality
  • Ensure model responses align with expected conversational behavior and system guidelines
  • Apply consistent evaluation standards by following taxonomies, benchmarks, and detailed evaluation guidelines

Requirements

  • BS, MS, or PhD in Computer Science or a closely related field
  • Real-world experience in software engineering or related technical roles
  • Expertise in C programming language
  • Ability to solve Hacker Rank or Leet Code Medium and Hard–level problems independently
  • Experience contributing to open-source projects, including merged pull requests
  • Experience using LLMs while coding and understanding their strengths and failure modes
  • Strong attention to detail and ability to evaluate complex technical reasoning and identify bugs or logical flaws
  • Prior experience with RLHF, model evaluation, or data annotation work preferred
  • Track record in competitive programming preferred
  • Experience reviewing code in production environments preferred
  • Familiarity with multiple programming paradigms or ecosystems preferred
  • Experience explaining complex technical concepts to non-expert audiences preferred

Skills

CLLM

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