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Full Time Online Data Annotation Jobs (NOW HIRING)

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

... annotation activities, and ensures data readiness, traceability, and compliance throughout the AI ... Please note - this is a full time, onsite role located in Waukesha, WI. Roles and Responsibilities ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... online -- to assess where and why systems are underperforming and quantify the impact of ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

Figure

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

Own Figure's external annotation and review vendor strategy end to end, from sourcing through ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... full-time experience building reliable backend systems • Experience with Linux and command line ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site +1

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may ...

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Full Time Online Data Annotation information

Is it hard to get hired for data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many companies offer entry-level positions with minimal experience needed, making the process accessible for beginners. Competition can vary depending on the platform and job requirements, but consistent application and skill development improve chances of employment.

What are the key skills and qualifications needed to thrive as a Full Time Online Data Annotation Specialist, and why are they important?

To thrive as a Full Time Online Data Annotation Specialist, you need strong attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with data annotation tools, cloud-based platforms, and sometimes knowledge of scripting languages like Python is commonly required. Strong communication, time management, and the ability to work independently help individuals excel in this remote role. These skills ensure accurate, high-quality data labeling that is crucial for training effective machine learning models.

How much do data annotators get paid?

Data annotators working full-time typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some roles may offer fixed salaries or project-based pay, and familiarity with annotation tools can improve earning potential.

What is the difference between Full Time Online Data Annotation vs Data Labeling Specialist?

AspectFull Time Online Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, online platform-basedRemote or in-office, often on specific projects
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentFull Time Online Data Annotation vs Data Labeling Specialist

Full Time Online Data Annotation involves ongoing, remote work focused on labeling data for AI training, often with a full-time schedule. Data Labeling Specialists may perform similar tasks but can work part-time or on specific projects. Both roles require attention to detail and basic technical skills, but Full Time Online Data Annotation typically offers more stability and consistent hours.

What are some common challenges faced by full-time online data annotators, and how can they be managed effectively?

Full-time online data annotators often encounter challenges such as maintaining focus during repetitive tasks, managing high volumes of data, and ensuring consistency in labeling. To address these, it's important to take regular breaks, utilize productivity tools, and follow detailed annotation guidelines closely. Many organizations provide quality checks and feedback, which can help annotators improve accuracy and efficiency over time. Additionally, collaborating with team leads or peers can offer support and clarify any uncertainties regarding complex data.

How hard is it to get hired by data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and do not require prior experience, but strong accuracy and consistency are important for selection. The application process often involves completing a skills test or sample annotation task.

How to make $25 dollars an hour online?

Full Time Online Data Annotation jobs typically pay between $10 and $20 per hour, but experienced annotators with specialized skills or certifications can earn up to $25 or more. Increasing your earning potential involves gaining expertise in specific annotation tools, maintaining high accuracy, and working consistently on high-paying projects or platforms that offer better rates.

Does data annotation actually pay?

Full time online data annotation jobs typically pay hourly or per task rates, with wages varying based on experience, complexity of annotations, and platform. Many companies offer competitive pay, and some roles require basic skills in data labeling tools or software. Payment is usually processed regularly through direct deposit or online payment systems.

Can you actually make money on data annotation?

Full time online data annotation jobs typically pay hourly or per task rates, and earnings depend on the volume of work completed and the company's pay structure. While it can provide a steady income, it usually does not generate high wages and may require consistent effort and accuracy. Skills in attention to detail and familiarity with annotation tools can improve earning potential.

Can I do data annotation with no experience?

Full Time Online Data Annotation jobs often do not require prior experience, as training is typically provided to help new workers learn annotation tools and standards. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some roles may prefer or require familiarity with specific data types or annotation software.

What is a Full Time Online Data Annotation job?

A Full Time Online Data Annotation job involves labeling, tagging, or categorizing data such as images, audio, video, or text to help train artificial intelligence (AI) models. Data annotators work remotely, often using specialized software platforms to accurately mark data according to specific guidelines. This role is essential for improving the accuracy and performance of machine learning algorithms in various industries, including technology, healthcare, and autonomous vehicles. Full-time positions typically require consistent hours and may offer benefits depending on the employer. Attention to detail and the ability to follow instructions are crucial skills for success in this job.

Are data annotations still hiring?

Full-time online data annotation jobs are currently available, with demand driven by AI and machine learning development. These roles often require attention to detail and familiarity with annotation tools, and they can offer flexible schedules. Job availability can vary by platform and industry needs, so checking current listings is recommended.
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Full Time Online Data Annotation jobs near you
Infographic showing various Full Time Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% 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 10 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

82nd of 433 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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