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Senior Data Annotation Analyst Jobs in Georgia (NOW HIRING)

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 ...

Senior Data Analysis

Atlanta, GA · On-site

$118K - $178K/yr

The Sr. Data Analysis position applies established data rules, investigates issues, supports integrations and production processes, and contributes to continuous improvement efforts in partnership ...

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

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

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 ...

We are seeking a highly analytical and business-focused Senior Data Analyst with expertise in Domo and Snowflake to support enterprise reporting, data strategy, and operational decision-making. This ...

Senior Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Senior Population Health Data Analyst Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent ...

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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 Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune ...

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Senior Data Annotation Analyst information

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

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 does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

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 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.

What is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
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.

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform.

Job Title: Senior Data Analyst (hybrid onsite Monday- Thursday)

Location: US-GA-Atlanta (Sandy Springs)

FLSA: Exempt

#LI-hyrbid

Job Overview:

As a Senior Data Analyst, you will serve as a strategic partner to the Sales and Accounting teams by transforming complex datasets into actionable insights that influence operational decisions, revenue performance, and financial accuracy. You will own key analytical models and dashboards, drive new analytics initiatives, and collaborate cross-functionally with IT, BI, and business leaders to identify opportunities that improve efficiency, accuracy, and visibility across the organization.

Job Responsibilities:

  • Own and enhance Power BI, Tableau, and other analytical models supporting Sales and Accounting workflows.
  • Develop automated dashboards and analytics for forecasting, sales performance, quota attainment, revenue reporting, margin analysis, and financial operations.
  • Partner closely with Sales, Accounting, and IT to define business requirements, KPIs, and analytical use cases.
  • Identify opportunities to automate, scale, or apply AI/ML techniques to improve data quality, forecasting, and operational efficiency.
  • Lead end-to-end analytics projects including scoping, data modeling, development, testing, and rollout.
  • Translate analytical findings into actionable recommendations through clear storytelling and executive-ready presentations.
  • Serve as a subject matter expert for data sources, definitions, and KPIs related to Sales & Accounting.
  • Mentor junior analysts on best practices in SQL, BI, data modeling, and stakeholder communication.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Job Requirements:

  • Bachelor’s degree in Information Systems, Computer Science, Analytics or related field; Master’s degree preferred; Equivalent combination of education and experience might be considered.
  • 4 to 8 years in data analysis, analytics, or modeling
  • Experience working in cross-functional teams
  • Certification in analytics and data visualization tools preferred.
  • Advanced SQL and strong experience with BI and analytics platforms
  • Familiarity with visualizations tools, data cleansing and modeling, and analytical platforms
  • Strong storytelling and data presentation capabilities
  • Ability to lead cross-functional analytics initiatives
  • Solid understanding of business operations, sales, accounting and strategy

Company Benefits:

  • Medical, Dental, and Vision Insurance
  • Flexible Spending Account
  • Health Savings Account
  • 401(k) Plan with Company Match
  • Company-paid Short-Term and Long-Term Disability
  • Company-paid Life Insurance
  • Paid Holidays and Vacation
  • Employee Referral Program
  • Employee Assistance Program
  • Wellness Programs
  • Paid Community Service Opportunities
  • Tuition Reimbursement
  • Ongoing Training & Personal Development
  • And More!

About Safe-Guard Products International:

Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.

For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.

Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.