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Senior Data Annotation Analyst Jobs in Georgia (NOW HIRING)

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 ...

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Job Title : Sr Data Analyst Location: Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor; we need visa independent candidates who can work for any ...

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Data Analyst will be responsible for ah-hoc data request support, and developing and maintaining analytics tools to support the Assurance and Advisory Management (AMP) team for project ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Data Analyst Location: 270 Washington Street SE, Suite 5-181, Atlanta, GA 30334 (On Site) Duration: 12 Months Interview: In-Person / Face to Face JOB SUMMARY Under broad supervision, performs ...

Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving * Independent Research

Senior Data Analyst

Atlanta, GA · On-site

$90 - $120/hr

Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership * Partner with cross-functional teams to ensure data accuracy, consistency, and ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Senior Data Analyst

Atlanta, GA · On-site

$73.15 - $96.20/hr

The Sr. Data Analyst helps support all aspects of analytic initiatives from conception to completion. Responsibilities * Produce dashboards with Excel, Tableau, or other tools to provide routine ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

The Sr. Data Analyst helps support all aspects of analytic initiatives from conception to completion. Responsibilities Responsibilities: • Produce dashboards with Excel, Tableau, or other tools to ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

The Sr. Data Analyst helps support all aspects of analytic initiatives from conception to completion. Responsibilities Responsibilities: Produce dashboards with Excel, Tableau, or other tools to ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Overview The Senior Data Analyst is responsible for turning CRM and marketing data into clear, defensible business decisions. This role executes analysis with precision while identifying what is ...

Data Analyst - Senior

Atlanta, GA · On-site

$58 - $62/hr

Senior Data & Analytics Engineer Location: Atlanta, Georgia Duration: Contract Job ID: 179089 Pay Range: $58/hr to $62/hr Enterprise data engineering and SQL 1. Strong ability to source, join ...

New

Sr. Data Analyst I

Atlanta, GA · On-site

$90 - $120/hr

About the role As a Senior Analyst in a well-funded Series C stage start-up, you will be defining our growth potential for years to come.You will be an integral part of Reserv's data team, working to ...

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Senior Data Annotation Analyst information

What is a senior data annotation analyst?

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

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 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.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

What are the most commonly searched types of Data Annotation Analyst jobs in Georgia?

The most popular types of Data Annotation Analyst jobs in Georgia are:

What cities in Georgia are hiring for Senior Data Annotation Analyst jobs?

Cities in Georgia with the most Senior Data Annotation Analyst job openings:

Infographic showing various Senior Data Annotation Analyst job openings in Georgia as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 11 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.