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Contract Data Annotation Analyst Jobs (NOW HIRING)

Data Annotation Engineer Location - Louisville, Kentucky (Day 1 onsite) Pay Rate: Market- based on ... Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written ...

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of ...

Use annotation tools to mark up text, images, or other data according to specific guidelines ... Job Type & Location This is a Contract position based out of Austin, TX. Pay and Benefits The pay ...

Q Analysts has a sixteen-years track record of providing managed services and we've partnered with ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$101K - $127K/yr

Responsibilities Analyzing Data Insights * Analyze large‑scale 2D/3D annotation datasets to ... contract and quote review, for third‑party annotation services and tools. * Define and track ...

Video Annotation Support

Laurel, MD · On-site

$30 - $35/hr

We have an outstanding Contract position for a Video Annotation Support to join a leading Company ... Annotation of video data collected by small unmanned aircraft and surface vessels. The annotation ...

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How much do contract data annotation analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for contract data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Contract Data Annotation Analyst job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Annotation Engineer

Louisville, KY • On-site

Tanisha Systems
1 - 5K employees

Other

Posted 14 days ago


Job description

Data Annotation Engineer Location - Louisville, Kentucky (Day 1 onsite) Pay Rate: Market- based on experience We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance. The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement. Lead the day-to-day operation of the AI annotation program. Manage a team of annotators responsible for reviewing customer conversations and AI interactions. Develop annotation guidelines, procedures, and quality standards. Establish calibration programs and quality assurance processes to ensure consistency across reviewers. Partner with Data Scientists to create and maintain gold-standard datasets. Monitor annotation accuracy, throughput, and quality metrics. Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders. Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch. Plan capacity requirements to support seasonal increases in review volume. Support future expansion into multilingual evaluation programs. Identify process improvements that increase efficiency and annotation quality. Bachelor's degree or equivalent experience in Linguistics/Psychology. 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields. Experience leading teams and managing operational workflows. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Experience supporting AI, machine learning, or data annotation programs. Familiarity with Responsible AI, compliance, legal review, or governance processes. Experience developing operational standards and quality frameworks. Experience managing vendor or contractor resources.