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Data Annotation Analyst Jobs (NOW HIRING)

Manage the end-to-end data annotation process * Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations * Implement approved ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

AI Data Scientist Expert - Remote

Miami, FL ยท Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data ...

Showing results 41-60

Data Annotation Analyst information

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$34K

$82.6K

$136K

How much do data annotation analyst jobs pay per year?

As of Sep 14, 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 & AI Program Manager

Redmond, WA โ€ข On-site, Remote

Cyborg Mobile
Business Management Consultingย โ€ขย 11 - 50 employees

Contractor

Posted 6 days ago


Job description

About the Role

We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.

This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred). **We are not interested in working with agencies at this time**

What You'll Do
  • Conduct market and user research to understand data needs and expectations across various NLP applications and domains
  • Define data specifications, scope, and sourcing strategy for each use case and domain
  • Design judgment guidelines and instructions for data annotation, validation, and quality control
  • Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
  • Manage the end-to-end data annotation process
  • Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
  • Implement approved data quality improvement actions
  • Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
  • Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
  • Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
  • Prepare and deliver data reports, presentations, and demos using client-approved formats and channels
What We're Looking For
  • Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
  • Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
  • Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
  • Analytical mindset with the ability to translate quality metrics into concrete improvement plans
  • Excellent stakeholder communication skills - comfortable presenting to both technical and non-technical audiences
  • Experience working in large, matrixed corporate environments
Must Haves
  • Customer centric
  • Good with follow through
  • Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot
Employment Type: CONTRACTOR