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Ai Data Annotation Remote Work Jobs (NOW HIRING)

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

... collection, annotation, and dataset organization(eg. Python). * Ability to work effectively in ... Familiarity with AI data lifecycle concepts, including training, validation, and testing datasets.

Akidev Corporation

Data Engineer III

Menlo Park, CA · On-site +1

$134K - $162K/yr

The Senior AI Data Engineer will own end-to-end data pipelines that don''t just move and transform ... annotation. Remote Inference Orchestration: Own the systems for remote ML model inference ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

... annotation, data quality, or evaluation systems. * Master's Degree or PhD Why Join Us: * Competitive pay and flexible remote work. * Collaborate with a team working on cutting-edge AI projects.

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Work independently and asynchronously to meet deadlines and improve AI model performance

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Ability to work on repetitive tasks effectively * Strong written grammar skills * Professional ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... gaps in AI and data science domains. Surface nuances that distinguish expert-level work from ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Telus Digital

$168K - $210K/yr

Our data annotation capabilities transform raw, ambiguous data into contextually enriched training ... Data & AI Expertise & Solutioning * Develop and maintain deep expertise across TELUS Digital's Data ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

AI - Shaping the Future of Artificial Intelligence What is Sigma ... Sigma is a leading global technology company specializing in data collection and annotation for ...

Perle AI

Freelance Audio Contributor - US English

Remote. Flexible. Project-based. Built for students. What You'll Do AI Voice Data Generation ... voice work, or data annotation is a plus but not required Why This Matters * Every major AI ...

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Ai Data Annotation Remote Work information

What is the difference between Ai Data Annotation Remote Work vs Data Labeler?

AspectAi Data Annotation Remote WorkData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, data services, tech companies
Job FocusAnnotating data for AI modelsLabeling data for machine learning

Ai Data Annotation Remote Work involves annotating data specifically for AI training, often requiring familiarity with annotation tools. Data Labelers perform similar tasks but may focus more broadly on labeling data for various machine learning projects. Both roles are remote-friendly and essential in AI development, but Ai Data Annotation Remote Work emphasizes working with AI-specific datasets and tools.

What are some common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often face challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a clear daily routine, make use of productivity tools, and participate actively in online team channels or meetings. Regular feedback from supervisors and collaboration with peers can also help clarify guidelines and ensure the annotation process remains accurate and efficient.

What are the key skills and qualifications needed to thrive as an AI Data Annotation Specialist working remotely, and why are they important?

To thrive as an AI Data Annotation Specialist in a remote setting, you need strong attention to detail, data literacy, and often a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes experience with basic scripting or spreadsheet software, is typically required. Excellent communication, time management, and self-motivation are essential soft skills for effective independent work and collaboration with distributed teams. These skills ensure high-quality, consistent data labeling that directly impacts the performance and accuracy of AI models.

What is AI data annotation remote work?

AI data annotation remote work involves labeling or tagging data—such as images, text, or audio—from a location outside of a traditional office, typically from home. Annotators play a crucial role in preparing datasets that train artificial intelligence systems to recognize patterns and make decisions. This job requires attention to detail, familiarity with annotation tools, and sometimes subject-matter knowledge depending on the data type. It's suitable for individuals seeking flexible or part-time work, and tasks can range from simple image labeling to complex language or object identification.
Infographic showing various Ai Data Annotation Remote Work job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Data Manager - AI Development

Data Manager - AI Development

GE HealthCare

Remote

$94K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

59th of 418 rated machine equipment manufacturers

Job description

Job Description Summary
The Data Manager - AI Development is a key role within the AI Development team responsible for planning, coordinating, tracking, and governing data used to develop AI enabled medical device features. This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ensures data readiness, traceability, and compliance throughout the AI development lifecycle.
The role is execution focused and coordination driven, ensuring that the right data is available, prepared, and documented at the right time to support AI feature development, evaluation, and regulatory readiness. Strong planning, communication, and organizational skills are essential for success in this role.
Please note - this is a full time, onsite role located in Waukesha, WI.
Job Description
Roles and Responsibilities
Key Roles and Responsibilities
1. AI Data Planning & Requirements
  • Partner with AI/ML engineers and technical leads to define data requirements for AI features, including dataset scope, diversity, and usage intent.
  • Translate feature and model needs into clear data requirements that guide collection, annotation, and preparation activities.
  • Support creation and maintenance of AI data planning artifacts aligned with internal Quality Management System (QMS) requirements.

2. Data Collection Coordination
  • Coordinate with centralized and distributed data collection teams to support AI development needs.
  • Track data sourcing activities across multiple programs and stakeholders.
  • Maintain data collection dashboards that provide visibility into status, coverage, risks, and gaps.
  • Track data collection and annotation budget.

3. Annotation & Labeling Oversight
  • Coordinate data annotation activities with internal teams and external vendors.
  • Track annotation progress, throughput, and quality metrics.
  • Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones.

4. Data Governance & Compliance Support
  • Support execution of AI data management practices including:
    • Data control planning
    • Data segregation between training, holdout, and testing datasets
    • Data preparation and inclusion criteria
    • Data traceability and usage documentation
  • Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions.
  • Act as a point of coordination to ensure data activities align with applicable QMS work instructions for AI development.

5. Program Tracking & Communication
  • Serve as the central coordination point for AI data activities across engineering, data operations, and program teams.
  • Proactively communicate status, risks, and dependencies to stakeholders.
  • Support planning reviews, design reviews, and readiness discussions with accurate data status reporting.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Data Science, Biomedical Engineering, or a related technical discipline with 4 years of experience.
  • Experience in data management, data operations, or program coordination roles supporting technical or engineering teams.
  • Demonstrated ability to plan, track, and coordinate complex workflows across multiple stakeholders.
  • Strong written and verbal communication skills, with the ability to translate technical needs into actionable plans.
  • Experience creating and maintaining dashboards (eg. PowerBI, excel, smartsheet) trackers, or reports for operational visibility.
  • Familiarity with structured data workflows(eg. SQL), including data collection, annotation, and dataset organization(eg. Python).
  • Ability to work effectively in cross-functional teams within a regulated or quality-driven environment.

Desired Characteristics
  • Experience supporting AI / machine learning development teams, particularly in healthcare or medical devices.
  • 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 development environments (medical devices, healthcare software, or similar).
  • Understanding of data governance concepts such as data traceability, segregation, and controlled usage.
  • Experience coordinating external vendors or annotation partners.
  • Comfort working with ambiguity and evolving requirements in early-stage AI feature development.
  • Experience with Microsoft Forms

Why Join Us?
  • Be at the forefront of AI-driven healthcare innovation.
  • Collaborate with a multidisciplinary team passionate about improving patient outcomes.
  • Shape the future of regulatory processes for cutting-edge medical technologies.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $94,400.00-$141,600.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Application Deadline: June 11, 2026

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