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G2i

C++ - Software Engineer, AI

Sorry, this job was removed at 02:39 p.m. (PST) on Tuesday, Apr 21, 2026
In-Office or Remote
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
Hiring Remotely in Seattle, WA, USA

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Before applying

This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations.

For US applicants

This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship.

We are unable to provide offer letters or employment verification for this role.

What You'll Be Doing

Help train large language models (LLMs) to write production-grade code across a wide range of programming languages:

  • Compare and rank multiple code snippets, explaining which is best and why

  • Repair and refactor AI-generated code for correctness, efficiency, and style

  • Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly

End result: the model learns to propose, critique, and improve code the way you do.

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

What You'll Need
  • 3+ years of professional software engineering experience in C++ (constraint programming experience is a bonus, but not required)

  • Strong code-review instincts — you can spot logic errors, performance traps, and security issues quickly

  • Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated.

  • Comfortable reading documentation and language specs, and able to work well in an asynchronous, low-oversight environment

Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence.

What You Don't Need
  • No prior RLHF or AI training experience

Logistics
  • Location: Fully remote — work from anywhere on the accepted locations list

  • Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types

  • Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week

  • Engagement: 1099 independent contractor

  • Payment: Weekly via PayPal or Stripe


⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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