Remote jobs in the United States

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Added 13 hours ago
BN
Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale and building toward becoming a leader in AI. As an Applied AI/ML Engineer, you'll ship AI-powered products end-to-end on top of our growing…
Added 20 hours ago
Applied AI Engineer
Fuse Energy
Remote, United States
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory:…
Added 20 hours ago
Applied AI Engineer
Fuse Energy
Remote, United States
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory:…
Added 2 days ago
C
Software Engineer, ML Workload Platform
Cohere
Remote, United States
- $200,000 to $325,000 USD / year
Added 2 days ago
Software Engineer
Turing
Remote, United States
This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.
Added 3 days ago
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors LLC
Remote, United States
As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization, you will be an individual contributor developing data-centric AI solutions that directly improve autonomous…
Added 4 days ago
AI Phone - Applied ML / Model Engineer
Bjak
Remote, United States
Added 6 days ago
Senior AI Systems and Algorithms Engineer
NVIDIA USA
Remote, United States
NVIDIA is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of…
Added 9 days ago
H
Research Engineer / Scientist, Reinforcement Learning
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
Added 9 days ago
H
Research Engineer, Infrastructure
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
Added 10 days ago
R
Senior Principal AI Engineer
Rapid7
Remote, United States
- $255,900 to $346,200 USD / year
As a Senior Principal AI Engineer, you will set the technical direction for how Rapid7 builds, tunes and serves LLMs and agentic systems across its security products. You understand LLMs…
Added 10 days ago
R
Staff AI Engineer
Rapid7
Remote, United States
- $186,500 to $252,300 USD / year
As a Staff AI Engineer, your primary responsibility will be to design, build and ship LLM and agentic AI systems across Rapid7’s security products, owning the technical solutions for your…
Added 13 days ago
Reinforcement Learning Engineer
Bugcrowd
Remote, United States
…world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing in Reinforcement Learning from Verifiable Rewards (RLVR), you will design and scale automated…
Added 19 days ago
SC
Research Engineer Intern (Ethical Creative and Protective AI Lab)
Sony Corporate Technology Center America Inc.
Remote, United States
- $50 USD / hour
We are seeking a motivated and passionate Research Engineer Intern to join our interdisciplinary team working at the forefront of Responsible AI for a 3 month internship. As an intern, you…
Added 23 days ago
AI
Principal Machine Learning Engineer
AppFolio Inc
Remote, United States
- $264,000 to $363,000 USD / year
We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate…
Added 23 days ago
Staff Research Engineer – Frontier AI, RL & Evaluation
Careerflow.ai
Remote, United States
Added 24 days ago
Machine Learning Researcher / Engineer (Foundation Models)
Pathway
Remote, United States
Added 24 days ago
Senior Software Engineer (On-Premises Platform)
Phaidra
Remote, United States
You are a senior software engineer who has built and operated platform infrastructure inside customer-controlled networks, where the environment cannot be treated like another cloud…
Added 24 days ago
Software Engineer, Data Platforms - Remote
Xperteez Technology
Remote, United States
Added 24 days ago
🌍 Senior Software Engineer RL, Remote- Contract
Xperteez Technology
Remote, United States
Added 24 days ago
Research Scientist, Medical World Models
Function Health
Remote, United States
You are a researcher who likes to ship and/or an engineer who insists on evidence. You have trained models on messy, irregular, real-world data and know that the evaluation design usually…
Added 24 days ago
AI/ML Software Engineer-Task Creator (RL Environments) (Contract)
Careerflow.ai
Remote, United States
Added 25 days ago
Machine Learning Researcher / Engineer (Foundation Models)
Pathway
Remote, United States
Added 26 days ago
Senior Architect, Model Performance and Post-Training
NVIDIA USA
Remote, United States
We are looking for a Senior Engineer to drive the performance modeling, evaluation, and post-training of large language models specialized in code generation, software engineering, and…
Added 26 days ago
I
Cybersecurity RL Environment Reviewer - Offensive & AppSec
idlexperts
Remote, United States
- $65 to $250 USD / hour
…and confirm it's real, reachable, and findable by a skilled engineer using only the context provided - no outside information…

Turing

Software Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

Software Engineer

We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day.

This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.

What you will do

Design and ship features end to end: data model, API, background workers, and the UI when the change needs it.
Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust.
Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score.
Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one.
Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load.
Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent.

What you bring

5+ years building and operating production backend systems, with ownership of at least one service from design through on-call.
Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field.
Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework.
Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus.
Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason.
Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build.
Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit.
Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling.
Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist.
Clear writing. Your pull request descriptions and design notes explain why, not just what.

Nice to have

Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona).
Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise.
Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP.
Experience with distributed job scheduling, concurrency limits, or database locking at scale.
Contributions to open-source evaluation or infrastructure projects.

How we work

Written engineering guidelines, applied consistently, with the same review bar for everyone.
Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready.
The same vocabulary in the code, the API, and the UI.
We prefer deleting code to adding it, and simple designs to clever ones.

A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide.

Compensation: $xxx,000 - $xxx,000 Base Salary + Equity Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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