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Ai Annotation Jobs (NOW HIRING)

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data. * Build evaluation datasets and ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data. * Build evaluation datasets and ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data. * Build evaluation datasets and ...

Gehc

Data Manager - AI Development

Waukesha, WI · On-site

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

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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Ai Annotation information

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$99K

$131.1K

$172.5K

How much do ai annotation jobs pay per year?

As of Jun 6, 2026, the average yearly pay for ai annotation in the United States is $131,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an AI Annotation job?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What are the typical daily responsibilities of an AI Annotation specialist?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

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

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

More about Ai Annotation jobs
What cities are hiring for Ai Annotation jobs? Cities with the most Ai Annotation job openings:
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Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 7% Part Time, and 40% Contract. Highlights an 47% In-person, and 53% Remote job distribution, with an average salary of $131,125 per year, or $63 per hour.

Senior Imagery Analyst (Data Annotation)

Maxar by Vantor

Falls Church, VA • On-site

$91K - $115K/yr

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

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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