1

Medical Ai Data Labeling Jobs (NOW HIRING)

AI Engagement Manager

$150K - $180K/yr

About This Role AI Engagement Managers own the relationships with Pareto's most important accounts ... Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

AI Engagement Manager

Palo Alto, CA · On-site

$180 - $230/hr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red-teaming, and emerging workflows * Ensure strong requirements gathering ...

New

AI Engagement Manager

California, MO · On-site

$100 - $130/hr

Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red‑teaming, and emerging workflows * Ensure strong requirements gathering ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Showing results 41-60

Medical Ai Data Labeling information

See salary details

$16

$37

$55

How much do medical ai data labeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for medical ai data labeling in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.46 per hour, depending on experience, location, and employer.
More about Medical Ai Data Labeling jobs
What cities are hiring for Medical Ai Data Labeling jobs? Cities with the most Medical Ai Data Labeling job openings:
What states have the most Medical Ai Data Labeling jobs? States with the most job openings for Medical Ai Data Labeling jobs include:
What job categories do people searching Medical Ai Data Labeling jobs look for? The top searched job categories for Medical Ai Data Labeling jobs are:
Infographic showing various Medical Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 4% Part Time, and 18% Contract. Highlights an 76% In-person, 4% Hybrid, and 20% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

Data Labeling Associate Portuguese - Bilingual (Portugal)

Welo Data

Sunnyvale, CA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A Portuguese (Portugal) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.