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Why this grade This listing scored 55/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Job Title: AI Engineer
Job Type: Contractor (~15 hrs a week)
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Job Summary: 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.
As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
Required Skills and Qualifications:
- 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.
Preferred Qualifications:
- Previous experience working on large-scale, distributed codebases.
- Familiarity with modern AI or machine learning systems is a plus, though not required.
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Process:
- Apply to the role, filling out the screening questions
- Complete AI Interview (approx. 30 minutes)
- Technical Assessment (Tentative)
- Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 28 Aug 2026 Himalayas first sighting
Seen on 1 board over 14 days.