Jobs / United States / Claims

Claims

Software Engineer

Remote · Remote · region not stated Posted yesterday

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Skills this job asks for

Machine learningPythonData engineeringTypeScriptReactCI/CD

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Where you can work from

Location not specified

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The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Claims paid sponsored hires in similar roles5 certified filings for “Senior Software Development Engineer” (Software Developers) in TX: $132k–$140k, median $140k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Claims paid sponsored hires in similar roles
5 certified filings for “Senior Software Development Engineer” (Software Developers) in TX: $132k–$140k, median $140k. Most were filed at wage level III (60%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

🚀 Build the data layer AI needs to do science Application deadline: 16 Nov 2026 23:59 CET About Claims AI ate the Internet, but it can't digest science yet. A paper is thousands of words of prose written for humans, but an AI agent doing research needs to know what was claimed, what evidence supports it, and how far to trust it. Claims turns the scientific literature into exactly that: every claim, tied to its evidence, as structured data that models and agents can query. We're a startup and run as Subnet 111 on Bittensor. Since our mainnet launch on 28 August 2026, an open competition of miners has processed more than 10,000 papers, and every record was checked by our validator before it entered the dataset. The competition keeps raising the bar: miners keep finding ways to beat our own reference pipeline, and every win becomes part of the standard the whole network is scored against. The team Claims was founded by two professors of economics and a senior engineer. • Philipp Koellinger , CEO, is a professor of economics and an experienced entrepreneur: founder of DeSci Labs and the DeSci Foundation, and co-builder of SciWeave with Ogban. • Christian Roessler , co-founder, is a professor of economics and game theorist. He designs the incentive mechanism that makes the miner competition work. • Ogban Ugot , engineering, is a senior backend and machine learning engineer. He built SciWeave, the Claims miner, validator and data pipeline, and you will work with him every day. You would be the fourth person on the team and our second engineer. Our culture We are a fully remote team spread across Europe, Africa and the US West Coast. We have a flat hierarchy and move fast towards clearly defined goals. We think deep, don't shy away from difficult problems or conversations, and we ship relentlessly. The code you will write will run on a live network within your first weeks, and you own real things from day one. We are an AI-native company and expect you to be an AI-native Software Engineer we can trust. About the role Position: Software Engineer (Python, full-stack) Location: Remote. You need to be able to join our team meetings in the afternoon, Central European Time. Type: Full-time contractor. Start in December 2026 or January 2027. We're looking for a Software Engineer to help maintain and build Claims and its supporting applications, services, and developer tools. Claims turns scientific research into structured claims and supporting evidence through document processing, AI pipelines, and automated evaluation. This is a hands-on, backend-focused full-stack role. You'll work across Python services, web dashboards, data pipelines, integrations, and deployment tooling. Your work will combine delivering new features with debugging existing systems, improving reliability, and making the codebase easier to maintain. You should be comfortable owning well-defined tasks from investigation through implementation, testing, and release, working with the team on larger design decisions and unfamiliar areas. Responsibilities • 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; address root causes and add useful regressio

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