> Markdown version of [/jobs/ext/4026482-remote-python-typescript-engineer](https://www.wearedevelopers.com/jobs/ext/4026482-remote-python-typescript-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Python/Typescript Engineer - **Company:** Turing Technology, Inc. - **Location:** Austin, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Software Engineering, TypeScript, Scripting, Data Generation - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/remote-python-typescript-engineer-austin-tx--ec195253-fa21-4cfb-bc91-615bd5a571b2 ## About the Role Python Programming/Scripting Language, Software Engineering, Artificial Intelligence (AI), Data Analysis, Communication Skills, Workflow Analysis, Data Collection, Python Programming/Scripting Language, Presentation/Verbal Skills, Writing Skills, * Proficiency in Python (especially building/maintaining pipelines and infra) or Typescript (experience contributing to or navigating large codebases like VSCode a plus) * Hands-on experience with preference data collection and/or rubric creation * Strong written and verbal communication - able to distill technical work into clear, actionable summaries * Demonstrated high-taste judgment - able to articulate why something is good, not just that it is. ## Description We're looking for a high-taste engineer with a strong eye for quality - someone who's worked hands-on with preference data and rubric creation, and knows what separates a good example from a great one. You communicate clearly and can synthesize complex technical work the way a strong MAI dev would: concise, structured, and easy for others to act on. You're comfortable in ambiguous, fast-moving environments and default to shipping over deliberating. What does day-to-day look like: * Design, refine, and iterate on rubrics and evaluation criteria for preference data * Review and label data with a high bar for quality, catching subtle issues others might miss * Build and maintain pipelines/infra that support data generation, collection, and evaluation workflows * Synthesize findings from data work into clear write-ups, updates, or recommendations for the team * Collaborate closely with researchers/engineers to translate qualitative judgment into scalable processes