Python Senior Software Engineer, AI Training

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., Leads product marketing strategy for CrowdStrike’s cloud risk and developer security portfolio. Owns positioning, launches, messaging, analyst engagement, field readiness, technical content, competitive strategy, thought leadership, and adoption. Partners with Product and CTO leaders to shape roadmap and market direction, creates technical proof for cloud and application security audiences, and uses customer, pipeline, usage, and competitive insights to improve business outcomes. Top Skills: Ai TechnologiesAspmAWSCi/CdCiemCloud Vulnerability ManagementCnappContainer SecurityCspmExposure ManagementGCPImage SecurityInfrastructure As CodeKspmKubernetesAzureSoftware Composition Analysis, CrowdStrike

• 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

• 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, 120K-180K Annually Entry level 120K-180K Annually Entry level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Research and develop agentic AI systems for cybersecurity, including LLM post-training, reinforcement learning, planning, tool calling, retrieval, memory, prompt optimization, and rigorous evaluation. Collaborate with cybersecurity experts, data scientists, and engineers to prototype state-of-the-art methods and transition successful systems toward production. Analyze agent failures, track AI advances, and define research priorities., Remote or Hybrid USA 235K-350K Annually Expert/Leader 235K-350K Annually Expert/Leader Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Leads frontier research and engineering for AI-powered cybersecurity systems. Defines research direction, designs agentic and autonomous security applications, builds evaluation environments, improves systems through feedback and adversarial simulation, and transitions prototypes into scalable production capabilities. Provides technical leadership across teams, mentors senior researchers and engineers, and contributes to research publications, open source, and the broader AI and cybersecurity communities. Top Skills: Adversarial LearningAdversary SimulationAgentic AiArtificial IntelligenceCybersecurity AutomationHigh-Volume Distributed SystemsMachine LearningMulti-Agent SystemsOpen-Source SoftwareReinforcement LearningSecurity AnalyticsSecurity TelemetrySynthetic DataThreat Hunting

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute