G2i Logo

G2i

Software Engineer, AI (Python)

Sorry, this job was removed at 04:14 p.m. (PST) on Tuesday, Jul 29, 2025
In-Office or Remote
207 Locations
In-Office or Remote
207 Locations

Similar Jobs

4 Hours Ago
Easy Apply
Remote
USA
Easy Apply
15-150 Annually
Mid level
15-150 Annually
Mid level
Artificial Intelligence • Information Technology • Internet of Things
As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.
Top Skills: AIMachine LearningPython
2 Days Ago
Easy Apply
In-Office or Remote
8 Locations
Easy Apply
2K-2K Annually
Mid level
2K-2K Annually
Mid level
Cloud • Software
As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.
Top Skills: AirflowApache SupersetApache TrinoAWSAzureClickhouseDbtDockerDvcFeastGCPKubernetesLxdMlflowPythonTemporal
26 Minutes Ago
Remote
USA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Sourcer will support Dandy's Operations team by sourcing candidates, developing strategies for diverse talent, and managing the candidate pipeline effectively.
Top Skills: Data-Driven Decision MakingSourcing Strategies

Software Engineer, AI — Code Evaluation & Training (Remote)

List of accepted countries and locations

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

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

  • Repair & 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 Python
    (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.

  • You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.

What You Don’t Need
  • No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.

  • No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.

Tech Stack

We are looking for engineers with a strong command of Python.

Logistics
  • Location: Fully remote — work from anywhere

  • Compensation: From $30/hr to $70/hr, depending on location and seniority

  • Hours: Minimum 15 hrs/week, up to 40 hrs/week available

  • Engagement: 1099 contract

Straightforward impact, zero fluff. If this sounds like a fit, apply here!

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account