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Seasonal Ai Data Annotation Jobs (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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 ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data 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 ...

Icon Consultants

Be Seen First

Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

Data Annotator (Autonomous Vehicle / AI) Location: San Francisco, CA 94103 Schedule: Hybrid, Monday ... The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and ...

New

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 ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

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 ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

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All JobsSeasonal Ai Data Annotation Jobs

Seasonal Ai Data Annotation information

Is it hard to get hired for data annotation?

Getting hired for a seasonal AI data annotation role generally requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but strong accuracy and consistency are important. Competition can vary depending on the company and the volume of available work, but flexible schedules and remote work options often make these roles accessible to a wide range of applicants.

What is the difference between Seasonal Ai Data Annotation vs Data Labeler?

AspectSeasonal Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site; project-basedRemote or on-site; task-specific
Industry UsageAI and machine learning companies, tech firmsTech companies, data services, AI firms
Job FocusAnnotating data for AI training, often seasonal spikesLabeling data for machine learning models, often ongoing

Seasonal Ai Data Annotation involves annotating data during specific periods to support AI training, often with project-based work. Data Labelers perform similar tasks but may have more continuous or ongoing roles. Both roles require attention to detail and basic technical skills, but Seasonal Ai Data Annotation is typically tied to seasonal project demands in the AI industry.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, machine learning engineers, or AI research directors, often involving advanced skills, extensive experience, and leadership responsibilities. These positions may include stock options, bonuses, or profit-sharing, contributing to the high total compensation. Such roles are usually found in large tech companies or organizations heavily investing in AI development.

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. Many positions require no formal degree and offer flexible schedules, often involving training on specific annotation tools or platforms. Building experience with data labeling and understanding AI workflows can improve job prospects.

How much do AI data annotators make?

AI data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are seasonal or part-time, often requiring attention to detail and familiarity with annotation tools or platforms.
More about Seasonal Ai Data Annotation jobs
What cities are hiring for Seasonal Ai Data Annotation jobs? Cities with the most Seasonal 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 Seasonal Ai Data Annotation jobs? States with the most job openings for Seasonal Ai Data Annotation jobs include:
What job categories do people searching Seasonal Ai Data Annotation jobs look for? The top searched job categories for Seasonal Ai Data Annotation jobs are:
Seasonal Ai Data Annotation jobs near you
Infographic showing various Seasonal Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Senior Imagery Analyst (Data Annotation)

Maxar by Vantor

Falls Church, VA

$91K - $115K/yr

Other

Retirement

Posted 29 days ago

Job description

Senior Imagery Analyst (Data Annotation)

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 at the TS/SCI level. Employment for cleared roles is contingent upon verification of clearance status.

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

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.

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.

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