G2i Logo

G2i

Python Senior Software Engineer, AI Training

Posted 2 Days Ago
Remote
Hiring Remotely in USA
100-200 Hourly
Senior level
Remote
Hiring Remotely in USA
100-200 Hourly
Senior level
Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.
The summary above was generated by AI

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

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

54 Minutes Ago
In-Office or Remote
137K-248K Annually
Mid level
137K-248K Annually
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and integrate silicon photonics, semiconductor processes, advanced packaging, optical interconnects, and heterogeneous integration technologies from concept through manufacturing readiness. Lead process characterization, DOE execution, yield improvement, defect reduction, root-cause analysis, design-rule development, tapeouts, technology transfers, technical programs, roadmaps, and AI-enabled engineering initiatives across multidisciplinary teams.
Top Skills: Advanced AnalyticsAdvanced PackagingAICo-Packaged OpticsDesign Of Experiments (Doe)Heterogeneous IntegrationHybrid BondingIii-V Semiconductor TechnologiesMachine LearningOptical InterposersOptical PackagingSemiconductor Process IntegrationSilicon PhotonicsStatistical AnalysisWafer BondingWafer FabricationWorkflow Automation
An Hour Ago
In-Office or Remote
65K-183K Annually
Senior level
65K-183K Annually
Senior level
Information Technology • Internet of Things • Mobile • On-Demand • Software
Manage a B2B technology customer portfolio, driving onboarding, adoption, value realization, retention, renewal readiness, and growth support. Develop success plans, monitor customer health, conduct business reviews, coordinate cross-functional teams, resolve escalations, maintain account documentation, and identify process improvements. The role requires trusted relationship-building, strong organization, and familiarity with cloud or managed services environments.
Top Skills: AWSAzureCRMCustomer Success PlatformsGCPVMware
An Hour Ago
In-Office or Remote
65K-183K Annually
Senior level
65K-183K Annually
Senior level
Information Technology • Internet of Things • Mobile • On-Demand • Software
Manages a portfolio of B2B technology customers, developing success plans, monitoring adoption and health, guiding onboarding and renewals, conducting business reviews, coordinating cross-functional resolution, supporting retention and growth, and improving customer success processes.
Top Skills: AWSCrm SoftwareCustomer Success PlatformsGCPAzureVMware

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