Open to any country, as long as your working hours sit between UTC-1 and UTC+3.
The role is open remotely with no country restrictions, but requires availability for team meetings during afternoon Central European Time.
Applies on the original listing · via Remote OK
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to any country, as long as your working hours sit between UTC-1 and UTC+3.
“Location: Remote. You need to be able to join our team meetings in the afternoon, Central European Time.”
Team members are spread across Europe, Africa, and the US West Coast, with team meetings held in afternoon CET.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- The role is explicitly designated as a full-time contractor engagement.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As the fourth team member and second engineer, you will work across Python backend services, data pipelines, integrations, and TypeScript/React review dashboards. You will own tasks from investigation through release, integrating AI model APIs, handling relational databases, debugging production issues, and refining pipelines that extract structured evidence from scientific papers.
What you'll do
- Build and maintain Python backend services, APIs, command-line tools, and background processing workflows.
- Develop and improve web dashboards and internal review tools using TypeScript, React, and modern web frameworks.
- Maintain pipelines that ingest research papers, process documents, extract structured information, and evaluate results.
- Integrate external APIs and AI model providers, handling validation, retries, timeouts, rate limits, and usage costs.
- Work with relational databases and object storage, including schema changes, migrations, queries, and data integrity checks.
- Investigate bugs and production issues across services, pipelines, and interfaces, addressing root causes and adding regression tests.
What you bring
- Typically 1–5 years of professional software engineering experience or equivalent delivering production software.
- Strong Python skills, including building maintainable services or data pipelines, dependency management, and automated testing.
- Experience designing, consuming, and troubleshooting HTTP APIs (JSON, authentication, error handling).
- Working knowledge of TypeScript or JavaScript with experience contributing to React applications.
- Practical SQL and relational database experience (schema design, migrations, debugging queries).
- Confidence working in Linux environments and using the command line for troubleshooting.
About Claims
Claims converts scientific literature into structured, verifiable data that AI agents and models can query, operating as Subnet 111 on Bittensor. Founded by economics professors and a senior engineer, the company runs an open miner-validator competition to evaluate scientific claims.
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