Existing documents only | Remote | English only We are seeking to purchase existing, original technical decision documents written by experienced software engineers and technical professionals, for an AI training and evaluation project. This is not a writing assignment.
Remote Technology (AI) Jobs in United States 2026
433 remote jobs open to candidates in United States in Technology (AI). Updated daily.
In this hourly, remote contractor role, you will work as a STEM & Technical Subject Matter Expert (SME) to create challenging expert-level questions, evaluate AI-generated technical content, and design detailed rubrics that define what a correct, rigorous, and expert-quality…
Mercor is seeking experienced Systems & Integration Engineers to support an advanced engineering and AI research initiative with a leading technology organization.
Mercor is seeking experienced Software and Firmware Engineers to support an advanced engineering and AI research initiative with a leading technology organization.
Schedule: Flexible, any hours/days of the week. As long as there is constant activity. micro1 is engaging expert Senior Software Engineers to support an innovative project. In this role, you'll apply your expertise to help train next-generation AI systems.
Role Title: Data Science Specialist - Executive Presentation Review Role Type: Contractor Location: Remote (US, UK or CAN) micro1 is engaging Data Science Specialists to contribute to a customer's project focused on elevating the quality and impact of business presentations and…
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
This is a remote, project-based role for software engineers with 1–3 years of professional experience. You will complete tasks spanning software development, debugging, code review, and technical implementation across a variety of stacks and applications.
We're working with a leading foundational AI lab to find experienced software engineers who can help train their latest language model on software development tasks.
We're working with a leading foundational AI lab to find experienced data scientists and ML engineers who can help train their latest language model on data science documentation tasks.
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 grants the world.
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 has to catch that, and that someone is you.
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.
Models will hand you code that looks secure and quietly ships a hardcoded secret, a broken auth check, or an injection the linter never flags. Someone has to tell security theater from an actual defense, and that someone is you.
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.
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.
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.
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 production those mistakes page someone at 3am.
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.
The newest models can spin up a full analysis in minutes — load the data, pick a method, produce charts and a confident conclusion. Someone has to check whether the statistics actually hold up, and that someone is you.
The newest models can vibe-code a whole feature in minutes. Someone has to check whether that code actually works, and that someone is you.
Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.