Remote AI Specialist Jobs
Remote AI Specialist jobs are open across the U.S. at remote-first firms and distributed teams in sectors from enterprise software to healthcare technology and financial services. Employers hiring remotely right now include Meridial, Innodata, and Volga Partners. Scan the live roles below and apply to whichever ones fit.
Find Remote AI Specialist JobsOverview
Showing 5 of 199+ Remote AI Specialist jobs
INTRODUCTION
Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. AI agents can now work through an imaging study the way a radiologist does: open the dataset, explore the dataset based on an indication, identify relevant features based on experience and tools and validate findings. Having agents being involved in the interpretation of clinical samples or even in the diagnosis of patients requires enormous care as well as validation of capability, but also offers massive advantages for patient care. We're building RadiologyBench and are looking for people who work with medical images every day, whether you read studies or acquire them.
ABOUT THE ROLE
You’ll decide what the right answer is for each case and build the studies that test it, from whether a scan was acquired properly to what shows. You then go through how AI agents actually handled them, including what they missed and what they reported that isn’t there. Labs use these results to see where their models fall short of an expert. The work covers MRI, CT, ultrasound and radiography, across organ systems.
Designing the task
- Write the questions that are frequently asked by radiologists or during interpretation of medical images
- Decide on the optimal answer format that the agent should use
- Decide what counts as a pass given the objective
- Review what agents are actually doing and if their approach holds up
- Help pick what is actually needed by the agent to solve the objective
BASIC QUALIFICATIONS
- Can work with medical images professionally and have handled thousands of studies, your role could include:
+ Radiologist, including trained outside the US (board-certified or equivalent)
+ Radiology resident or fellow
+ Sonographer (ARDMS or equivalent)
+ MRI or CT technologist (ARRT or equivalent)
- Deep experience in at least one modality (MRI, CT, ultrasound or radiography) and working familiarity with the others
- You know normal anatomy and common pathology for your area, and you can tell when the image itself is wrong: artifact, positioning, parameters
- Comfortable enough to work with python on interpretation and run scripts. No specific ML engineering is required but could come in handy
- AI-ready, daily use of popular agents like Claude Code, with judgement to distinguish between technical correctness but clinical unsoundness
- Bonus: imaging AI challenge experience (e.g. RSNA, MICCAI, …) or contributions e.g. to Radiopaedia
- Bonus: familiarity with public imaging archives (TCIA, MIMIC-CXR, UK Biobank, OpenNeuro)
CULTURE @ LATCH
We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record.
Outside of work:
Company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights.
COMPENSATION & LOGISTICS
Pay: $140K–$180K OTE (on-target earnings), with no ceiling.
- Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K.
- Your first 4 weeks (ramp) are paid at full OTE while we train you.
- You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project.
In the US: full-time W-2
- Guaranteed base set by your state, paid every paycheck no matter what
- Health, dental, vision: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
Outside the US: contractor
- Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply.
Growth:
Two tracks, based on output, not tenure.
- Individual contributor: six levels, so up to five promotions, with OTE rising at each one.
- Management: after your first promotion, you can move into managing a pod if that’s what you want.
LOCATION
Location: fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks.
Work authorization:
We sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT.
INTERVIEW PROCESS
- Apply. If your profile matches, we’ll send you a take-home project.
- Take-home project (HackerRank). We review it as soon as it arrives.
- Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review.
- Culture interview with our C-suite.
- Offer.
- Background check, once you accept.
COMPENSATION RANGE
Compensation Range: $140K - $180K
INTRODUCTION
Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field. AI agents can now work through an imaging study the way a radiologist does: open the dataset, explore the dataset based on an indication, identify relevant features based on experience and tools and validate findings. Having agents being involved in the interpretation of clinical samples or even in the diagnosis of patients requires enormous care as well as validation of capability, but also offers massive advantages for patient care. We're building RadiologyBench and are looking for people who work with medical images every day, whether you read studies or acquire them.
ABOUT THE ROLE
You’ll decide what the right answer is for each case and build the studies that test it, from whether a scan was acquired properly to what shows. You then go through how AI agents actually handled them, including what they missed and what they reported that isn’t there. Labs use these results to see where their models fall short of an expert. The work covers MRI, CT, ultrasound and radiography, across organ systems.
Designing the task
- Write the questions that are frequently asked by radiologists or during interpretation of medical images
- Decide on the optimal answer format that the agent should use
- Decide what counts as a pass given the objective
- Review what agents are actually doing and if their approach holds up
- Help pick what is actually needed by the agent to solve the objective
BASIC QUALIFICATIONS
- Can work with medical images professionally and have handled thousands of studies, your role could include:
+ Radiologist, including trained outside the US (board-certified or equivalent)
+ Radiology resident or fellow
+ Sonographer (ARDMS or equivalent)
+ MRI or CT technologist (ARRT or equivalent)
- Deep experience in at least one modality (MRI, CT, ultrasound or radiography) and working familiarity with the others
- You know normal anatomy and common pathology for your area, and you can tell when the image itself is wrong: artifact, positioning, parameters
- Comfortable enough to work with python on interpretation and run scripts. No specific ML engineering is required but could come in handy
- AI-ready, daily use of popular agents like Claude Code, with judgement to distinguish between technical correctness but clinical unsoundness
- Bonus: imaging AI challenge experience (e.g. RSNA, MICCAI, …) or contributions e.g. to Radiopaedia
- Bonus: familiarity with public imaging archives (TCIA, MIMIC-CXR, UK Biobank, OpenNeuro)
CULTURE @ LATCH
We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record.
Outside of work:
Company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights.
COMPENSATION & LOGISTICS
Pay: $140K–$180K OTE (on-target earnings), with no ceiling.
- Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K.
- Your first 4 weeks (ramp) are paid at full OTE while we train you.
- You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project.
In the US: full-time W-2
- Guaranteed base set by your state, paid every paycheck no matter what
- Health, dental, vision: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
Outside the US: contractor
- Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply.
Growth:
Two tracks, based on output, not tenure.
- Individual contributor: six levels, so up to five promotions, with OTE rising at each one.
- Management: after your first promotion, you can move into managing a pod if that’s what you want.
LOCATION
Location: fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks.
Work authorization:
We sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT.
INTERVIEW PROCESS
- Apply. If your profile matches, we’ll send you a take-home project.
- Take-home project (HackerRank). We review it as soon as it arrives.
- Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review.
- Culture interview with our C-suite.
- Offer.
- Background check, once you accept.
COMPENSATION RANGE
Compensation Range: $140K - $180K
See All 199+ Remote AI Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Specialist JobsRemote AI Specialist Job Market
Who's Hiring
- Meridial125
- Innodata4
- Volga Partners4
- Ensono2
- Commure2
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Non-Profit & Social Services
What Employers Look For
The qualifications that appear most often in remote AI specialist jobs.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in statistics, linear algebra, and probability theory
- Experience with MLOps tools for model versioning, monitoring, and pipeline automation
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
Tips for Your Remote AI Specialist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ai specialist openings from across the U.S. in one place so you can find roles that match your skills and apply directly. Remote positions close fast when a team is small and the need is specific.
Show async communication in your application
Remote ai specialist teams rely on written handoffs, documented decisions, and clear Slack or Notion updates instead of in-person syncs. Write your cover letter and take-home prompts the way you would write an async team update: precise, structured, and easy to act on without a follow-up call.
Build a portfolio remote teams can evaluate
Distributed hiring managers can't watch you work, so a public GitHub with reproducible notebooks, model cards, or a deployed demo does the talking. Document your problem framing, data choices, and evaluation metrics so reviewers understand your reasoning, not just your output.
Target remote-first companies in your sector
Companies that were built remote from the start have the tooling, culture, and management practices to support ai specialists working distributed. Search specifically for remote-native firms in enterprise software, health tech, or fintech rather than filtering remote from companies that default to in-office.
Remote AI Specialist Jobs: Frequently Asked Questions
How do I get a remote ai specialist job?
Target companies that run fully distributed engineering or data teams, since those organizations are built to support remote ai specialists from day one. Remote hiring managers screen hard for self-direction, clear async written communication, and hands-on fluency with tools like Python, PyTorch, or cloud ML platforms. A public portfolio of deployed models or documented experiments gives your application a concrete edge over candidates who list skills without showing work.
Which companies hire remote ai specialists?
Remote ai specialist roles are posted by Meridial, Innodata, and Volga Partners and others right now, based on current remote listings on Migrate Mate as of November 2026. The strongest concentration is at remote-first technology companies, distributed SaaS platforms, and enterprise software firms that run global AI and machine learning teams without a central office requirement.
Can you get a remote ai specialist job with no experience?
Yes, but remote entry-level ai specialist roles are harder to land because employers expect you to work independently with minimal day-to-day oversight from the start. Remote-first startups and product companies building early AI teams are the most likely to hire junior candidates. What opens the door is a GitHub portfolio with real projects, contributions to open-source ML work, or a capstone that shows you can ship something without hand-holding.
Do you need a degree for remote ai specialist jobs?
Not always. Many remote employers in this field weigh demonstrated technical skills and a portfolio of real AI or machine learning work as heavily as a formal credential. A computer science or data science degree helps with screening filters at larger organizations, but remote-first companies and early-stage teams regularly hire candidates who show strong Python skills, model deployment experience, and documented results without a four-year degree.
Which industries hire the most remote ai specialists?
Most remote ai specialist openings sit in Technology & Software, Education, and Insurance, per current remote listings on Migrate Mate as of November 2026. Those sectors hire ai specialists remotely because their product and data infrastructure is cloud-native, which lets distributed teams build, train, and deploy models without needing to be co-located.
See All 199+ Remote AI Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Specialist Jobs