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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 ...

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 ...

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 ...

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$34K

$82.6K

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How much do data annotation analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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.

What is a data annotation analyst?

A Data Annotation Analyst is responsible for labeling, tagging, and categorizing data to help train and improve machine learning models. They work with text, images, audio, or video, ensuring that datasets are accurate and high-quality. This role requires attention to detail, consistency, and familiarity with annotation guidelines to enhance AI performance.

What does a data annotation analyst do?

As a Data Annotation Analyst, your day usually involves reviewing various data types (like images, text, or audio) and applying precise labels or tags according to specific project guidelines. You may participate in regular team meetings to clarify instructions, resolve ambiguities, and update productivity targets. Routine feedback sessions with quality assurance teams are common to ensure consistency and accuracy in the annotated data. Collaboration with data scientists or machine learning engineers might also occur to improve annotation processes or address edge cases. The work environment is typically structured, with deadlines and accuracy benchmarks guiding daily activities.

What are the key skills and qualifications needed to thrive as a data annotation analyst?

To excel as a Data Annotation Analyst, you need strong attention to detail, analytical abilities, and familiarity with data labeling processes, often supported by a relevant degree or experience in data handling. Proficiency with specialized annotation tools (such as Labelbox or CVAT), spreadsheet software, and sometimes scripting languages is highly valued. Excellent communication skills, adaptability, and the ability to work independently or collaboratively are crucial soft skills in this role. These skills ensure accurate, high-quality data annotations that are essential for training reliable machine learning models.

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Infographic showing various Data Annotation Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% 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 16 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.