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Technical Data Annotation Analyst Jobs in Georgia

Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. This role will create ...

Position: Data Analyst Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Strong data storytelling skills with the ability to present insights clearly to both technical and ...

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client ... Ability to communicate analytical findings clearly to both technical and non-technical audiences.

Data Analyst About SpendHQ SpendHQ is a fast-growing and dynamic Procuretech Scale-up with an ... Explain technical issues clearly to customers and non-technical stakeholders while helping drive ...

Senior Systems Analyst

Byron, GA · On-site

$80K - $100K/yr

... analyses, database development or data gathering, preparation of technical/program reports or ... Review technical data for accuracy and thoroughness, and provide recommendations for change or ...

Senior Systems Analyst

Byron, GA · On-site

$80K - $100K/yr

... analyses, database development or data gathering, preparation of technical/program reports or ... Review technical data for accuracy and thoroughness, and provide recommendations for change or ...

This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders. Key ...

Technical Skills * Proficiency in SQL for querying and analyzing data across relational databases. * Understanding of data structures, relational models, and metadata. * Ability to work with large ...

... Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business ...

... Data AnalystTechnical expertise regarding data models, database design development, data mining and segmentation techniques • Strong knowledge of and experience with reporting packages ...

Technical Skills: * Strong proficiency in Microsoft Excel. * Experience with data analysis and visualization tools (e.g., Salesforce reports/dashboards, Tableau, Power BI) preferred. * Proficiency or ...

Data Analyst

Atlanta, GA · On-site

$56K - $63K/yr

Technical Skills: * Strong proficiency in Microsoft Excel. * Experience with data analysis and visualization tools (e.g., Salesforce reports/dashboards, Tableau, Power BI) preferred. * Proficiency or ...

Platform and Technical Support * Investigate data-processing issues and work with data teams to ... Evaluate analytical outputs to ensure they are accurate, consistent, and aligned with the prospect ...

Senior Reliability Analyst

Warner Robins, GA · On-site

$80K - $106K/yr

Experience in data evaluation, interpretation and analysis for the creation of recommended actions Technical and specialized knowledge in Reliability Centered Maintenance, Condition Based Maintenance ...

Showing results 41-60

Technical Data Annotation Analyst information

What is the difference between Technical Data Annotation Analyst vs Data Labeling Specialist?

AspectTechnical Data Annotation AnalystData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; familiarity with data annotation toolsHigh school diploma or equivalent; experience with labeling platforms
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects

The Technical Data Annotation Analyst and Data Labeling Specialist roles share similar credentials and work environments, often overlapping in AI and machine learning industries. However, the analyst typically involves more technical understanding and collaboration with data teams, while the specialist focuses primarily on labeling tasks. Both roles are essential in preparing data for AI models, but the analyst may require additional technical skills or familiarity with annotation tools.

What does a technical data annotation analyst do?

A technical data annotation analyst labels and categorizes data such as images, videos, or text to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working with large datasets in a structured environment.

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

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

Data Analyst

Alpharetta, GA • On-site

Full-time

Re-posted 9 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML