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Senior Data Annotation Analyst Jobs (NOW HIRING)

Required Skills & Qualifications * 5 years in operations, project management, or data analysis, with at least 2 years specifically in data annotation operations. * Proven history of success in ...

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Senior Data Annotation Analyst information

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$55K

$99.2K

$135.5K

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

As of Jun 4, 2026, the average yearly pay for senior data annotation analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a Senior Data Annotation Analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What are Senior Data Annotation Analysts?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

More about Senior Data Annotation Analyst jobs
What cities are hiring for Senior Data Annotation Analyst jobs? Cities with the most Senior Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
What states have the most Senior Data Annotation Analyst jobs? States with the most job openings for Senior Data Annotation Analyst jobs include:
Infographic showing various Senior Data Annotation Analyst job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Junior Data Annotation Engineer (Remote)

jobright.com

Santa Clara, CA • Remote

Full-time

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


Job description

Join to apply for the Junior Data Annotation Engineer (Remote) role at Jobright.aiJoin to apply for the Junior Data Annotation Engineer (Remote) role at Jobright.aiGet AI-powered advice on this job and more exclusive features.Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions.

We connect you with verified openings from employers you can trust.Job Summary:Sustainable Talent is partnering with Nvidia, a global leader in computer graphics and accelerated computing, to find a Data Annotation Engineer. This role involves leading the design and optimization of annotation projects and workflows to support AI research, collaborating with cross-functional teams, and ensuring the successful delivery of high-quality datasets.Responsibilities:• Set up, test, and maintain UI configurations for annotation tasks using a third-party annotation platform and internal tooling.• Design and adapt automation scripts in annotation pipelines, Data processing, logging and telemetry• Collaborate with product managers, engineers, researchers, data annotators, and other cross-functional team members for annotation project set up, requirement gathering, prioritization, pre-annotation and post-annotation processing and quality review.• Act as the single-threaded owner of each project end to end— from requirement gathering to dataset delivery.• Communicate project updates, address concerns, and align expectations to ensure successful project outcomes.• Track project progress, identify risks, and implement corrective actions as necessary to keep projects on course.• Troubleshoot project setup issues, pipeline failures, and UI bugs.• Develop and maintain technical guidelines, playbooks, and internal tools to build and operate annotation projects.• Lead and support general annotation operation improvement initiatives across various data domains.Qualifications:Required:• Bachelor's degree with 3+ years of experience in operations (AI/NLP operations, product operations, or data analysis) or software development.• Strong problem-solving skills with a systems-thinking and automation-first mindset• Proficiency with Python scripting, for data processing and automation.• Excellent communication skills and the ability to interface with both technical and operational teams• Familiarity with structured data formats (CSV, JSON, JSONL), cloud storage (e.g., S3), telemetry and monitoring conceptsPreferred:• Experience with data annotation platforms, modern ETL systems, machine learning is a bonus.Company:Sustainable Talent provides staffing, consulting and outsourcing services. Founded in 2009, the company is headquartered in Wayne, New Jersey, USA, with a team of 201-500 employees.

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