AI Engineer
micro1
WorldwideremotePosted 1 month ago
Skill Required
AI-EngineerArtificial-Intelligence-EngineerAI-ML-EngineerAI-Engineering-SpecialistAI-EngineeringArtificial-Intelligence-EngineeringPython-AI-EngineerAI-Engineering-JobsAI EngineerAIsoftware engineeringQuery OptimizationMachine LearningData StructuresEngineeringTypeScriptdebuggingwrittenPythonGolangdesignC++JavaRustandContract
Key highlights
- Compensation: paid per completed task (output‑based).
- Experience level: no prior AI experience required – domain knowledge matters.
- Key benefit: fully flexible remote schedule.
- Notable requirement: proficiency in at least one of C++, Python, Java, GoLang, Typescript, or Rust.
- Remote work location.
- Fast start: begin tasks within 24–48 hours after onboarding.
Role overview
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real‑world input. No prior experience in AI is required — your domain knowledge is what matters.
Responsibilities
- Create Reinforcement Learning Environments that test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.
- Design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
- Develop tasks that may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers.
- Apply expertise to help train next‑generation AI systems and shape model learning, reasoning, and performance.
- Collaborate with cross‑functional remote teams to deliver maintainable solutions.
Requirements
- Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.
- Exceptional written and verbal communication skills, with a keen attention to detail.
- Track record of success in collaborative, cross‑functional teams, ideally in remote settings.
Nice to have
- Previous experience working on large‑scale, distributed codebases.
- Familiarity with modern AI or machine learning systems (a plus, not required).
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Benefits
- Flexible schedule – you pick the hours and days (including weekends if desired).
- Fully remote work.
- Output‑based compensation: paid per task that meets project specifications.
- Quick onboarding – start first tasks within 24–48 hours after completing onboarding.
Additional details
- Job Title: AI Engineer.
- Job Type: Contractor (~15 hrs a week).
- Location: Remote.
- Schedule: Flexible.
- Process: Apply to the role, filling out the screening questions; Complete AI Interview (approx. 30 minutes); Technical Assessment (Tentative); Hiring Manager review.
- Compensation Structure: Minimum submission requirements apply; experts must submit a minimum number of tasks per week.
- Start Timeline & Availability: Roles typically filled within 48 hours; experts ready to jump in right away.
- Originally posted on Himalayas.