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Senior Data Annotation Analyst Jobs in Georgia (NOW HIRING)

Navtech, Inc.

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 ...

Safe-Guard Products International

Sr. Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

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 ...

New

Alliance Drawback Services

Sr. Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

They are seeking a Senior Data Analyst to lead analytics projects from data acquisition to reporting and client insights, requiring strong technical skills and business acumen. Responsibilities : • ...

Equifax, Inc.

Sr. Data Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

The Senior Data Analytics Consultant will play a pivotal role in driving data-driven conversations with our senior leadership. This individual will partner closely with sales, marketing, and product ...

Smarsh

Lead Data Scientist

Atlanta, GA

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

Home Depot

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 ...

4pconsultinginc

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 ...

Velociti Services

Senior Data Analyst

Atlanta, GA · On-site

$110K/yr

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 ...

Resolution Technologies

Sr. Data Scientist

Atlanta, GA · On-site

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a ... The data scientist builds machine learning models and predictive analytics solutions and owns the ...

Harver

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:
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Senior Data Annotation Analyst jobs near you
Sr Data Analyst

Sr Data Analyst

Navtech, Inc.

Atlanta, GA • On-site, Remote

$82K - $104K/yr

Contractor

Posted 12 days ago

Job description

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 employer, like USC & GC.
This is a remote role with a work location based in Atlanta, GA. 5% travel required. The client will take care of Expenses.
Top 5 Must-Haves:
  1. 5+ years of direct experience with analytics, automated reporting, data exploration; SQL and Python are required.
  2. Be proficient in using SQL to extract/transform data from various systems and in performing analysis on large datasets.
  3. 4+ years of experience with visualization software (Power BI or Tableau)
  4. Be highly analytical with a proven ability to turn data into compelling, real-world insights.
  5. Must be comfortable presenting to large audiences and senior business leaders.

The Business Intelligence Analyst II will be a part of the Sales Business Insights team within the Sales Business Office (SBO) and contribute to the quantitative analysis of the Sales organization's key challenges and opportunities. They will lead backend improvements to the company's data pipelines and data visualizations, supporting all sales segments across Cox Automotive. This role will support hundreds of front-line sellers and leaders with consumable analytics to help them drive growth and retain customers. As an analytics SME, the BI Analyst II will use data to support new business initiatives, sales performance analysis, hypothesis development & testing, and data modeling to support insightful solutions. The BI Analyst II will also regularly interact with & communicate findings/recommendations/results to senior business leaders and present to large audiences.
Responsibilities:
  • Manage analytical processes, build new datasets, and validate/improve existing data pipelines using Snowflake and Python.
  • Support and lead ad hoc data inquiries, analyze data & identify trends, draw conclusions, and present insights that tell compelling stories.
  • Be an integral part of building & maintaining our one-stop Sales and Performance Management reporting platform in Power BI.
  • Partner with Sales leaders to build visualizations & reporting that drives performance optimization and revenue growth.
  • Translate moderate to complex data into consumable and relevant insights for non-analytic internal and external stakeholders.
  • Partner with other analytics teams across the org to ensure that standards are being met and sources of truth are followed.
  • Release tools in Power BI and Tableau that can have hundreds of users & participate in trainings and demos for these tools.
  • Compile success stories and positive end-user feedback from existing tools to quantify the impact that these BI tools provide for the business.
  • Work with data governance to document and manage access to the team's data library

Thanks for your valuable time!!!
Best Regards,
Kevin Smith | PH: +1 224-296-3545 | kevin@navtechusa.com| kevinsmithrecruiter2015@gmail.com
Talent Acquisition Lead |NAVTECH INC |www.navtechusa.com
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About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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