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From Home Ai Data Rater Jobs in Georgia (NOW HIRING)

micro1 AI

AI Data Collector (Motion & Video)

Macon, GA · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

micro1 AI

AI Data Collector (Motion & Video)

Athens, GA · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

micro1 AI

AI Data Collector (Motion & Video)

Atlanta, GA · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

micro1 AI

AI Data Collector (Motion & Video)

Augusta, GA · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Job Summary Get paid from home in this fully remote opportunity by recording your everyday ...

ServiceNow

Solution Architect - AI & Data

Atlanta, GA

$60.50 - $79.75/hr

Lead enterprise AI transformation engagements -- from opportunity identification and business case ... Data Architecture & Catalog Strategy * Lead the architectural design of enterprise data catalog ...

ServiceNow

Solution Architect - AI & Data

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Lead enterprise AI transformation engagements - from opportunity identification and business case ... Data Architecture & Catalog Strategy * Lead the architectural design of enterprise data catalog ...

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All JobsAi Data Rater JobsFrom Home Ai Data Rater JobsFrom Home Ai Data Rater Jobs in Georgia

From Home Ai Data Rater information

What is the difference between From Home Ai Data Rater vs From Home Content Moderator?

AspectFrom Home Ai Data RaterFrom Home Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, data labelingOnline platforms, social media moderation
Common Search IntentData annotation, AI training jobsContent review, community moderation jobs

Both roles are remote and require similar skills, but From Home Ai Data Raters focus on labeling data to train AI systems, while From Home Content Moderators review online content to ensure community guidelines are followed. The roles differ mainly in their purpose within the tech industry, with data raters supporting AI development and content moderators maintaining platform integrity.

What are the most commonly searched types of Ai Data Rater jobs in Georgia? The most popular types of Ai Data Rater jobs in Georgia are:
What are popular job titles related to From Home Ai Data Rater jobs in Georgia? For From Home Ai Data Rater jobs in Georgia, the most frequently searched job titles are:
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From Home Ai Data Rater jobs near you
Infographic showing various From Home Ai Data Rater job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Consultant AI & Data Engineer

North Highland

Atlanta, GA • On-site

Full-time

Re-posted 19 days ago

Job description

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Consultant, AI & Data Engineer in our Atlanta, GA officeto help us take vision to value and create lasting impact. This role is also open to candidates in Dallas, Denver, and Portland.
SUMMARY
As a Consultant AI & Data Engineer, you will design, develop, and deploy AI solutions that survive real client environments. That means navigating imperfect data, complex workflows, and leaders seeking confidence that AI solutions will be adopted and drive value.
This role is for an engineer with systems depth, that can take AI from an interesting idea to practical operational tooling. Key areas include RAG, document processing, evaluations, observability, deployment, and integration patterns.
You will be hands-on, designing and delivering features and applications and serving as a technical voice in client conversations and with internal leadership.
YOU WILL:
  • Translate ambiguous business problems into AI solutions, features, and tools that clients can adopt, deploy, and maintain with confidence.
  • Lead and facilitate discovery conversations and shape solution design alongside clients, solution architects, and delivery leads.
  • Build RAG, document AI, and AI-enabled systems end-to-end: ingestion, chunking and layout decisions, retrieval design, vector and metadata schemas, prompt and context engineering, post-processing, and evaluation.
  • Define and run evaluation frameworks, benchmark against industry datasets, design reliability diagnostics and perform failure analysis to make decisions about models, retrieval strategies, and processing pipelines.
  • Translate operational processes into structured and/or agentic AI workflows, designing human-in-the-loop and explainable escalation patterns for sensitive tasks where AI/automation alone is insufficient.
  • Stand up the observability needed to trust a system in production, including tracing, output capture, feedback loops, and monitoring for performance degradation.
  • Mentor junior engineers, review their code, and raise the technical bar of the team.
  • Present work and facilitate decision making sessions with client stakeholders with clarity and confidence, including PowerPoint presentations.

IDEALLY, WE'D LIKE:
We are looking for demonstrated ability to design, develop, and deploy AI-enabled solutions. The ideal candidate can showcase delivery from concept through to production and provide evidence of strong stakeholder communication.
Experience
  • 1+ years in AI or data science roles, with 2 - 3 years in technical roles overall preferred.
  • Bachelor's degree in a computer science, data science, or relevant field, or equivalent professional experience.

Engineering fundamentals
  • Writing-level proficiency in Python and SQL (not just reading or generating code).
  • Fluent use of AI coding tools with disciplined practices around trustworthy, human-reviewed output.
  • Working proficiency with data warehousing, integrations, APIs, and software development
  • Working command of Git, Docker, and CI/CD.

AI engineering depth
  • RAG fluency beyond top k: you have designed retrieval strategies, evaluated them, understood tradeoffs, and improved/mitigated them.
  • Vector database experience at the schema-design level: organization, metadata, hybrid retrieval, and tradeoffs.
  • Document processing across text, images, and tables, with judgment for when to reach for which chunking, layout, or extraction approach.
  • Experience designing evaluation frameworks and using them to drive decisions, including production readiness and evidence-based improvements.
  • Comfort with NoSQL stores, document versioning, and turning unstructured files into structured knowledge assets.
  • Awareness of how data quality, drift, and edge cases break AI systems, and the patterns to mitigate them in imperfect environments.
  • Comfort with data cleansing, transformation, and normalization techniques, including both structured and unstructured formats

Delivery and consulting skills
  • Background in client-facing or delivery-oriented work including interpreting stakeholder needs and delivered a working solution at the end.
  • Strong communication skills and effective with PowerPoint to present technical work to both technical and non-technical stakeholders.
  • Sound judgment in ambiguous problem spaces, able to make sensible assumptions, document them, and revisit them as patterns emerge.
  • Commitment to staying abreast of latest advancements in applied AI.

Cloud
  • Working exposure to at least one of Azure, GCP, or AWS.

Nice to Have
  • Experience with LangGraph, LangChain, or comparable agent frameworks.
  • Graph databases and ontology design.
  • ML/NLP background is useful.
  • Hands-on time in Databricks, Snowflake, or Salesforce ecosystems.
  • Prior experience in consulting environment.

Applicants must be authorized to work in the United States, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
Reference: 49978

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