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Data Annotation Ai Trainer Jobs (NOW HIRING)

Weekday AI

Neurologist

$82 - $287/hr

AI Trainer - Neurology Location: Remote Compensation: $82 - $287/hour-pay As a Neurologists - AI ... Strong knowledge of data annotation and quality assurance processes. * A background in both adult ...

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ...

Gehc

Data Manager - AI Development

Waukesha, WI

Familiarity with AI data lifecycle concepts, including training, validation, and testing datasets. * Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated ...

YO IT Consulting

Legal Ai Prompt Writer - Remote

The role involves creating AI training content, evaluating AI responses for legal accuracy, and precise legal data annotation. Responsibilities : • Develop AI Training Content (Legal): Create clear ...

Abaka AI

Quality Project Associate

Mountain View, CA · On-site

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

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How much do data annotation ai trainer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data annotation ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is a Data Annotation AI Trainer job?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Trainer position, and why are they important?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a typical day look like for a Data Annotation Ai Trainer?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 2% Full Time, 70% Part Time, and 22% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Neurologist

Weekday AI

Remote

$82 - $287/hr

Part-time

Posted 19 days ago

Job description

This role is for one of our clients
Job Title: Neurologists - AI Trainer
Job Type: AI Trainer - Neurology
Location: Remote
Compensation: $82 - $287/hour-pay
As a Neurologists - AI Trainer and play a critical role in shaping the future of clinical AI. Leverage your expertise in adult or pediatric neurology to develop, refine, and validate artificial intelligence systems designed to advance neurological diagnostics and patient care. Contribute to innovative healthcare solutions from the comfort of your home, collaborating with professionals passionate about medical excellence and technology.
Requirements
Key Responsibilities
  1. Work alongside AI developers to train and assess machine learning models focused on neurological diagnosis and treatment suggestions.
  2. Annotate, review, and analyze clinical information, including patient histories, physical examinations, and diagnostic test results, to ensure the production of high-quality AI outputs.
  3. Offer expertise on brain, spinal cord, and peripheral nerve disorders, concentrating primarily on non-surgical approaches.
  4. Evaluate the results of neurological procedures and diagnostic tests such as lumbar punctures, EEGs, EMGs, and nerve conduction studies to enhance AI model development.
  5. Clearly and accurately convey clinical findings, feedback, and insights to interdisciplinary teams through both written and spoken communication.
  6. Identify potential clinical challenges and subtleties to strengthen the robustness and safety of AI-driven solutions.
  7. Remain informed about the latest advancements in neurology and incorporate emerging knowledge into model training and validation protocols.

Required Skills and Qualifications
  1. MD or DO degree with board certification or eligibility in Neurology, with preference for those specializing in adult or pediatric care.
  2. Proven clinical experience in the diagnosis, management, and treatment of neurological conditions (e.g., Adult and Pediatric Neurologist, General Neurologist, Physician).
  3. Proficient in interpreting neurological evaluations and procedures, including advanced diagnostic tests.
  4. Outstanding written and verbal communication abilities, demonstrating meticulous attention to clinical detail and clarity.
  5. Capacity to analyze and synthesize intricate clinical information for diverse audiences, both technical and non-technical.
  6. Enthusiasm for advancing healthcare through technology, innovation, and collaborative efforts.
  7. Experience or interest in digital health, informatics, or AI technologies in healthcare.

Preferred Qualifications
  1. Previous involvement in AI, machine learning, or health technology projects within a clinical or research environment.
  2. Strong knowledge of data annotation and quality assurance processes.
  3. A background in both adult and pediatric neurology is advantageous.

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