1

Assistant Ai Labeling Jobs in Georgia (NOW HIRING)

AI Data Analyst

Alpharetta, GA · On-site

  • Medical

  • Life

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content. * Support basic semantic labeling or ...

Metadata & Semantic Enablement * Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content. * Support basic semantic labeling or ...

... labeling, data loss prevention, eDiscovery, audit, and insider risk. * Support the deployment ... * Assist with the implementation and administration of Copilot extensibility and agentic AI ...

Material Handler

Sandersville, GA

$14 - $17/hr

You'll also play a key role in packaging and labeling finished goods -- making sure the right ... Pull and stage raw materials for production; assist in raw material make down * Support mechanical ...

Material Handler

Sandersville, GA · On-site

$14 - $17/hr

You'll also play a key role in packaging and labeling finished goods -- making sure the right ... production; assist in raw material make down • Support mechanical repairs and preventative ...

Material Handler

Alpharetta, GA · On-site

$16.25 - $19.75/hr

You'll also play a key role in packaging and labeling finished goods -- making sure the right ... production; assist in raw material make down • Support mechanical repairs and preventative ...

Data Protection, A/SA-Evergreen

Atlanta, GA

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... * Assist with configuration and administration of Microsoft Purview capabilities (e.g ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Lead Technician

Atlanta, GA · On-site

$42K - $54K/yr

... terminations, labeling, testing, and clean-up * Ensure all work is performed according to site ... Maintain a clean, organized, and safe work environment * Assist with conflict resolution and ...

Material Handler 2 Bindery

Austell, GA · On-site

$14.42 - $18.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Attaches identifying tags or labels to materials or marks information on cases, bales, or other ... or electric hoist to assist in loading or moving materials and products Qualifications:

Be Seen First

Data Center Technician

Dalton, GA · On-site

$30 - $40/hr

Organize, route, and label data and power cables to maintain a clean, efficient, and safe ... Equipment Setup : Assist in the installation and configuration of servers, networking equipment ...

New

Agentic Workflow Specialist

Atlanta, GA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Because the underlying AI platforms and controls evolve quickly, the firm needs a dedicated ... labels, and permission/conditional access considerations). * Establish test plans and repeatable ...

Sit Down Forklift Operator 2nd Shift

Savannah, GA · On-site

$21/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

By unifying transportation, assets, and information through AI-enabled technology, UNIS helps ... Document and maintain inventory records. * Assist the Receiving Department with unloading new ...

Material Handler 2 - Bindery

Austell, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Attaches identifying tags or labels to materials or marks information on cases, bales, or other ... assist in loading or moving materials and products Qualifications * Able to stock, move, arrange ...

Sit Down Forklift Operator 2nd Shift

Garden City, GA · On-site

$21/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

By unifying transportation, assets, and information through AI-enabled technology, UNIS helps ... Document and maintain inventory records. * Assist the Receiving Department with unloading new ...

Sit Down Forklift Operator 2nd Shift

Savannah, GA · On-site

$21/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

By unifying transportation, assets, and information through AI-enabled technology, UNIS helps ... Document and maintain inventory records. * Assist the Receiving Department with unloading new ...

next page

Showing results 1-20

Assistant Ai Labeling information

What is an assistant AI labeling?

Assistant AI Labeling jobs involve reviewing, tagging, and categorizing data such as images, text, or audio to help train artificial intelligence and machine learning models. These roles are essential because accurate labeling ensures that AI systems can learn to recognize patterns and make decisions effectively. Tasks may include drawing bounding boxes around objects in images, transcribing spoken words, or classifying text according to given guidelines. The work is often done using specialized software and requires attention to detail as well as consistency. Assistant AI Labelers may work remotely or in-house for tech companies, research organizations, or data annotation firms.

What are the key skills and qualifications needed to thrive as an assistant AI labeling?

To thrive as an Assistant AI Labeling Specialist, you need strong attention to detail, accuracy, and an understanding of data annotation practices, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming languages like Python is beneficial. Dependability, time management, and the ability to follow complex instructions are crucial soft skills for excelling in this role. These skills ensure high-quality labeled data, which is vital for training accurate and reliable AI models.

What are some common challenges faced by assistant AI labeling professionals, and how can they be addressed?

Assistant AI Labeling professionals often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially with ambiguous or subjective cases. To address these challenges, most teams implement clear annotation guidelines, regular training sessions, and peer review processes to ensure high-quality outputs. Collaboration with data scientists and project managers is also key, as open communication helps clarify uncertainties and align labeling practices with project goals. Embracing feedback and staying flexible as guidelines evolve can further enhance both the quality of work and job satisfaction in this role.

What is the difference between Assistant Ai Labeling vs Data Annotator?

AspectAssistant Ai LabelingData Annotator
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentRemote or office-based; collaborative with AI teamsPrimarily remote; focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles supporting AI trainingData labeling and annotation tasks for AI models

Assistant Ai Labeling involves supporting AI systems by labeling data, often requiring some technical understanding. Data Annotator focuses on labeling data to prepare datasets for AI training. Both roles are essential in AI development, with overlapping skills but different focus areas.

What are the most commonly searched types of Ai Labeling jobs in Georgia?

The most popular types of Ai Labeling jobs in Georgia are:

What are popular job titles related to Assistant Ai Labeling jobs in Georgia?

For Assistant Ai Labeling jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Labeling jobs in Georgia look for?

The top searched job categories for Assistant Ai Labeling jobs in Georgia are:

What cities in Georgia are hiring for Assistant Ai Labeling jobs?

Cities in Georgia with the most Assistant Ai Labeling job openings:

AI Data Analyst

RELX Group plc

Alpharetta, GA • On-site

Full-time

Medical, Life

Re-posted 25 days ago


Job description

Are you passionate about improving data quality and readiness to unlock the full potential of AI solutions?
Do you enjoy collaborating across teams to ensure data is structured, governed, and usable for intelligent systems?
About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,
https://risk.lexisnexis.com
About the Team:
We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.
We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.
About the Role:
We are seeking an AI Data Analyst to support teams in preparing and maintaining AI-ready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI systems.
The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own end-to-end data pipelines and is not expected to be a deep technical expert in RAG or embeddings, but should have a solid working understanding of AI-driven data needs.
Responsibilities:
AI Data Readiness Support
  • Work with product and delivery teams to assess whether datasets and content are fit for AI use cases.
  • Help teams understand and apply AI data readiness standards, including quality, freshness, metadata, and access expectations.
  • Identify common data issues that impact AI outcomes (e.g., stale data, unclear ownership, missing metadata) and recommend remediation steps.
  • Contribute to repeatable checklists, guidance, or documentation that help teams prepare data for AI.

Data Quality & Relevance
  • Support data quality checks focused on accuracy, completeness, consistency, and timeliness for AI-consumed data.
  • Assist in monitoring and validating data freshness and relevance, escalating issues to engineering or data owners as needed.
  • Help teams improve data clarity and usability to reduce ambiguity in AI outputs.

Metadata & Semantic Enablement
  • Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content.
  • Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning (in coordination with engineering teams).
  • Promote good content hygiene practices (clear structure, consistent naming, well-scoped documents).

AI Data Sources & Retrieval (Support Role)
  • Support the upkeep and documentation of approved data sources used by AI solutions.
  • Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.
  • Collaborate with AI and platform teams on data inclusion/exclusion decisions without owning technical implementation.

Governance, Lineage & Compliance Awareness
  • Help teams align AI-consumed data with enterprise governance requirements, including classification, access controls, and retention.
  • Support basic data lineage and ownership documentation for AI-relevant datasets.
  • Partner with governance and security teams by surfacing risks or gaps; does not act as final approval authority.

What This Role Does Not Own
  • Does not design or own end-to-end production data pipelines.
  • Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding strategies.
  • Does not make final governance or compliance decisions independently.

Requirements:
  • Proven experience in data analysis, analytics engineering, data operations, or data quality roles.
  • Good understanding of data quality principles and how poor data impacts downstream systems.
  • Experience working with structured and unstructured data (tables, files, documents, knowledge assets).
  • Proficiency in SQL and comfort investigating data issues.
  • Familiarity with data governance fundamentals (classification, access controls, ownership, retention).
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders.

Preferred Qualifications
  • Exposure to AI-enabled products, copilots, or search-based solutions.
  • Basic familiarity with AI data concepts such as semantic search, embeddings, or retrieval patterns.
  • Experience working in enterprise or regulated environments.
  • Experience contributing to standards, playbooks, or shared data practices.

What Success Looks Like
  • Teams can reliably prepare datasets that meet AI readiness expectations with less rework.
  • AI solutions benefit from more relevant, up-to-date, and understandable data.
  • Clear ownership and documentation exist for data used by AI systems.
  • Strong collaboration between delivery teams, data engineering, and governance.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
  • Life Assurance Policies: Providing financial security for your loved ones.
  • Modern Family Benefits: Support for maternity, paternity, and adoption needs.
  • Long Service Award: Recognition for your dedication and loyalty.
  • Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
  • Flexible Benefits Plan : Offering you wider choice of services and products
  • Employee Assistance Program : Access support for personal and work-related challenges.
  • Flexible Working Arrangements: Balance work and personal life effectively.
  • Access to Learning and Development Resources: Empowering your professional growth.

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Ohio, the base pay range is $74,900 - $124,700.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.