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Night Shift Medical Data Annotation Jobs (NOW HIRING)

Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated development environments (medical devices, healthcare software, or similar). * Understanding of data ...

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

... shift handoffs. • Recognize processing issues, missing information, or delays and escalate ... medical data entry, or laboratory support. • Strong accuracy and attention to detail when ...

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Night Shift Medical Data Annotation information

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$12

$17

$22

How much do night shift medical data annotation jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for night shift medical data annotation in the United States is $17.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Night Shift Medical Data Annotation vs Night Shift Medical Transcription?

AspectNight Shift Medical Data AnnotationNight Shift Medical Transcription
Required CredentialsHigh school diploma, training in annotation toolsHigh school diploma, medical transcription certification
Work EnvironmentRemote, computer-basedRemote or onsite, computer-based
Industry UsageAI training, machine learningMedical record documentation
Common Search/ComparisonYesNo

Night Shift Medical Data Annotation involves labeling medical images and data for AI training, focusing on accuracy and detail. Night Shift Medical Transcription entails converting audio recordings into written reports, emphasizing clarity and medical terminology. While both roles require attention to detail and familiarity with medical terminology, they serve different purposes within healthcare technology and documentation.

More about Night Shift Medical Data Annotation jobs
What cities are hiring for Night Shift Medical Data Annotation jobs? Cities with the most Night Shift Medical Data Annotation job openings:
What states have the most Night Shift Medical Data Annotation jobs? States with the most job openings for Night Shift Medical Data Annotation jobs include:
Infographic showing various Night Shift Medical Data Annotation job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 78% Full Time, 17% Part Time, and 1% Nights. Highlights an 100% Physical job distribution, with an average salary of $37,275 per year, or $17.9 per hour.
AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

Volga Partners

Remote

$10 - $14/hr

Contractor

PTO

Posted 3 days ago


Job description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence?
We're looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you'll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency.
No engineering background required - if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit.
This is a hands-on, production-based role where accuracy, focus, and consistency matter.
What You'll Do
  • Review AI-generated responses and rate them for clarity, correctness, and relevance.
  • Annotate and label content based on project-specific guidelines.
  • Follow detailed written instructions and apply them consistently.
  • Generate or evaluate prompts depending on assignment type.
  • Work with QA Leads to apply feedback and continuously improve task quality.
  • Report completed work daily and meet productivity and quality standards.

What Makes You a Strong Fit
  • You're detail-oriented and enjoy accuracy-based work.
  • You can follow instructions carefully and apply them consistently.
  • You're comfortable working independently with minimal supervision.
  • You have strong reading comprehension and critical thinking skills.
  • You communicate clearly and respond to feedback professionally.

Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required - training and guidance is provided.
Schedule & Work Expectations
This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team:
Language
Shift Window (PST)
9:00 AM to 6:00 PM
  • Standard expectation: One consecutive 8-hour shift
  • Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule)
  • Only logged, approved hours are paid.

This project follows a no paid holidays / no paid time off model.
Location Restrictions
We are unable to accept applicants currently residing in:
Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela.
Why Join
• Work with a global team
• Entry point into the growing AI and language technology industry
• Exposure to real-world AI model training
• Skill development in annotation, QA/evaluation, and structured AI tasks
This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles.
Compensation Range
Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD:
$10.00 USD to $14.00 USD per hour
Requirements
Assessment Requirement
All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards.
Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role.
  • Fluency in Italian, with strong written and verbal communication skills.
  • Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience.
  • Experience or interest in AI, Machine Learning, or data annotation preferred.
  • Strong attention to detail and ability to work with complex data sets.
  • Familiarity with translation and localization processes is an advantage.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.