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Full Time Ai Data Annotation Jobs (NOW HIRING)

$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 ...

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 ...

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

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 ...

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data ... annotation and dataset management tools. The US base salary range for this full-time position is ...

... AI Data Operations who is passionate about delivering production-grade machine learning and ... Description You will lead an organization of internal domain experts, building scalable annotation ...

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Full Time Ai Data Annotation information

What are some common challenges faced by AI Data Annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

Which 3 jobs will survive AI?

Full Time AI Data Annotation jobs are likely to persist because they require human judgment for complex data labeling and quality control. Roles involving creative thinking, strategic decision-making, and interpersonal skills, such as AI trainers, data scientists, and AI ethicists, are also expected to remain in demand as AI systems need human oversight and expertise. These jobs often require specialized skills, certifications, or domain knowledge that are difficult for AI to fully replicate.

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

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are Full Time AI Data Annotation jobs?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Familiarity with annotation tools and understanding of data labeling guidelines are also important; some roles may require prior experience or training. Many positions are entry-level and offer flexible schedules, making them accessible to a wide range of applicants.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These positions are usually found in large tech companies or AI-focused firms and involve leadership, strategic planning, and cutting-edge development. Compensation at this level reflects significant responsibility and expertise in the field.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or data set rather than hourly.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

More about Full Time Ai Data Annotation jobs
What cities are hiring for Full Time Ai Data Annotation jobs? Cities with the most Full Time Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Full Time Ai Data Annotation jobs? States with the most job openings for Full Time Ai Data Annotation jobs include:
Infographic showing various Full Time Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 18% Full Time, and 82% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Imagery Analyst (Data Annotation)

Vantor

Falls Church, VA

$91K - $115K/yr

Full-time

Retirement

Posted 28 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level. 

Vantor is seeking a detail-oriented Senior Imagery Analyst (Data Annotation) to guide and improve annotation workflows across EO, SAR, and commercial imagery.  You’ll perform quality validation efforts, mentor junior team members, and drive continuous improvement in annotation standards to support mission-critical AI/ML development.  

Responsibilities

  • Provide quality assurance reviews of annotated geospatial imagery  
  • Train and mentor junior annotators on best practices  
  • Identify systemic annotation issues and drive corrective actions  
  • Validate annotation accuracy across multiple formats (bounding boxes, segmentation, center points)  
  • Collaborate with peers, quality lead, program managers, and other critical partners to align data output with downstream model needs  
  • Recommend and implement improvements to annotation tools and processes  
  • Write and maintain annotation guidelines and quality control documentation  

Minimum Qualifications :  

  • U.S. citizenship and active TS/SCI clearance 
  • 7+ years of experience with EO, SAR, COMINT, and/or commercial imagery analysis and geospatial data annotation  
  • Proficiency in geospatial software tools (e.g., ArcGIS, QGIS)  
  • Experience using Remote View, SOCET GXP, and/or Fade/Mist 
  • Demonstrated leadership in data validation or quality assurance processes  
  • Experience with object classification, visual QA, and annotation feedback cycles  

Preferred Qualifications :

  • Experience supporting government or defense missions  
  • Familiarity with automated quality metrics or annotation pipelines  
  • Experience with SAR-specific feature analysis  
  • Basic scripting or automation (e.g., Python, Jupyter) is a plus  
  • Prior experience writing SOPs or developing team workflows 

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Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$115,000.00 - $120,000.00

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: 

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.