G2i Logo

G2i

Senior Software Engineer, AI Training - United States

Reposted 24 Days Ago
In-Office or Remote
12 Locations
100-200 Hourly
Expert/Leader
In-Office or Remote
12 Locations
100-200 Hourly
Expert/Leader
Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.
The summary above was generated by AI

Contract | Remote, worldwide | $100-$200/hour depending on experience and location | 10-20 hrs/week

Please note that eligibility may vary depending on your location, as some regions may not be supported by the client.

Check out this Loom video for more details: https://www.loom.com/share/b0d1b0bf24c44ae8b95dca84b9db60e5

We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.

This is not a traditional engineering role. You won't be writing production code. You'll be evaluating something harder: whether the model thinks like a great engineer.

What this role actually is

You will assess how AI coding agents behave in real-world scenarios, focusing on:

• Whether the response makes sense

• Whether the preamble and reasoning are useful

• Whether the output reflects strong engineering judgment

• Whether the interaction feels right to an experienced developer

This role is about engineering taste. Syntax correctness is the easy part.

What you'll be doing

• Evaluate AI-generated coding interactions end to end

• Judge whether outputs are useful, correct at a high level, and aligned with how a strong engineer would think

• Assess the quality of explanations and reasoning, not just the code

• Distinguish between levels of response quality (what makes something a 2 vs a 4)

• Give clear, opinionated feedback in writing on what worked, what didn't, and what felt off or misleading

• Help define what great looks like when working with tools like Cursor, Codex and Claude Code

What we mean by "taste"

We're looking for engineers who can answer questions like:

• Does this feel like something a strong engineer would actually say?

• Is this explanation helpful, or just technically correct?

• Is the model guiding the user well, or just dumping output?

• Would this interaction build or erode trust?

You should be comfortable making subjective but rigorous judgments, and explaining them clearly.

Who you are

• Senior, Staff or Principal-level engineer (or equivalent experience)

• Strong background in TypeScript/JavaScript or Python

• Hands-on experience with at least one of OpenAI Codex, Claude Code or Cursor

• Deep familiarity with modern AI-assisted dev workflows

• Able to evaluate code without executing it or reviewing every line

• Strong written and spoken English (B2 or above). You'll be writing detailed feedback and recording short video explanations, so this is a hard requirement

• Comfortable giving direct, opinionated feedback

• High bar for what good engineering looks like

Nice to have

• Prior exposure to prompt design or evaluation workflows

• Experience mentoring senior engineers or defining engineering standards

Engagement details

• Rate: $100-$200/hour depending on experience and location

• Hours: 10-20 hours/week, flexible

• Duration: ongoing. Projects run from about two weeks to a few months each, and we offer new ones to evaluators who do well

• Start: as soon as you clear the take-home and a project has an open seat

• Process: one take-home evaluation exercise with a recorded Loom walkthrough. No interview

Similar Jobs

Yesterday
Remote
United States
120K-215K Annually
Mid level
120K-215K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and deploy AI-powered, LLM-based solutions in client environments. Implement integrations between models, APIs, and healthcare systems, write production-ready code, support testing and deployments, assist data preparation and prompt configuration, troubleshoot issues, and collaborate with cross-functional teams and clients to deliver scalable, secure solutions and enable knowledge transfer.
Top Skills: APIsAWSAzureClaudeCodexData PipelinesDistributed SystemsGCPJavaLlmsPrompt EngineeringPythonSQL
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
155K-260K Annually
Senior level
155K-260K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build agentic AI products that enable customers to create custom detections and workflows from operational camera data. Own projects from customer discovery through design, implementation, production operation, and ongoing optimization. Develop backend services, APIs, and customer-facing experiences; partner with platform, machine learning, product, and design teams. Improve AI accuracy, reliability, performance, and cost while mentoring engineers and shaping technical architecture.
Top Skills: Agentic AiAi Coding AgentsAPIsCloud ComputingComputer VisionEdge ComputingIotLarge Language Models
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
162K-290K Annually
Senior level
162K-290K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead Samsara’s AI initiatives across the software development lifecycle, including developer agents and SRE AI. Set strategy, select experiments, make build-versus-buy decisions, control infrastructure and token costs, scale automated incident response, and build trust in AI-driven actions. Manage and grow a team of five to ten senior engineers while partnering directly with R&D leaders and developers.
Top Skills: Ai AgentsClaudeCloud InfrastructureCodexIncident Response AutomationIotModel Context Protocol (Mcp)Sre Tooling

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account