OpenTrain AI
3 weeks agoThe work As a Python Domain Expert, you will design and build realistic benchmark tasks for coding agents. You will work with production-like repositories, tests, configurations, documentation, and runtime scenarios to evaluate whether an a
OpenTrain AI
3 weeks agoThe Work You will help improve large language models through coding prompt development, training-data creation, and technical evaluation. Your main focus will be translating CUDA and C++ implementations into equivalent Python code with PyTo
OpenTrain AI
3 weeks agoThe work This role involves senior clinical review for dermatology AI evaluation. You will work with complex cases and graphic medical images, document defensible reasoning, and help build consistent review standards. The duties and qualifi
DataAnnotation
3 weeks agoOverview Models are great at spotting the textbook SQL injection and blind to the flaw that only shows up in your architecture: the trust boundary drawn in the wrong place, the deserialization no scanner flags, the IAM policy that quietly g
DataAnnotation
3 weeks agoOverview During an incident, models love a tidy story: one root cause, a clean timeline, a confident containment plan. Real intrusions are messier, and a model that misreads a log or clears an attacker too early does real damage. Someone ha
DataAnnotation
3 weeks agoOverview Models can describe an exploit chain in confident detail and miss that step three never actually works, the payload gets filtered, or the whole path assumes a misconfiguration no real target would have. Someone has to know which at
DataAnnotation
3 weeks agoOverview DataAnnotation is looking for an experienced Embedded Systems Developer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have already built over years of designi
DataAnnotation
3 weeks agoOverview Models can scaffold a whole app in one shot: front end, API, and database, all of it looking right. Then the state goes stale, the endpoint leaks data, and the migration bricks production. Someone has to trace a feature across ever
DataAnnotation
3 weeks agoOverview Models are surprisingly bad at reasoning about themselves: training dynamics, evaluation design, data pipelines, and deployment trade-offs. Plausible-sounding ML advice is often subtly wrong. As a Machine Learning Engineer you'll s
DataAnnotation
3 weeks agoOverview Models write backend code that passes the happy-path test and falls over on everything else: the race condition under load, the N+1 that melts the database, the API contract that breaks every client the day you change it. Someone h
DataAnnotation
3 weeks agoOverview A model will hand you a pipeline and an infrastructure change that apply cleanly and quietly leave a security group open to the world, a state file that will corrupt on the next run, and a rollback path that does not exist. In prod
DataAnnotation
3 weeks agoOverview Models ship UI that renders in the demo and breaks everywhere else: state that desyncs on the second render, an accessibility tree no screen reader can follow, a layout that collapses the moment real content arrives. Someone has to
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