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Remote Ai Data Annotator Jobs in Decatur, GA (NOW HIRING)

Aimpoint Digital

AI Strategist 2026- US,UK (Remote)

Atlanta, GA · Remote

$124.40K - $160.70K/yr

Aimpoint Digital is a premier AI & Data consulting firm with a mission to drive business value for ... remote work within the US or UK.Atlanta-based applicants will have the opportunity to work in our ...

Deloitte

GCP Engineer

Atlanta, GA · On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Welo Data

Online Data Analyst - Remote

South Fulton, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

Welo Data

Online Data Analyst - Remote

Sandy Springs, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

Welo Data

Online Data Analyst - Remote

Atlanta, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

Deloitte

Databricks Engineer

Atlanta, GA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Deloitte

GCP Manager

Atlanta, GA · On-site +1

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

CAI

AI Enablement Manager

Atlanta, GA · On-site +1

$150K - $160K/yr

Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly ... AI, data, cloud, and enterprise technology concepts Experience working directly with ...

Welo Data

AI Content Writer - Remote

Sandy Springs, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

Welo Data

AI Content Writer - Remote

South Fulton, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

Welo Data

AI Content Writer - Remote

Atlanta, GA · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... Your feedback helps train and improve AI technology, making search engines smarter and more useful ...

New

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Remote Ai Data Annotator information

What are the key skills and qualifications needed to thrive as a Remote AI Data Annotator, and why are they important?

To thrive as a Remote AI Data Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Experience with annotation platforms, data management tools, and sometimes knowledge of scripting languages like Python is valuable. Strong communication, time management, and self-motivation are essential soft skills for meeting deadlines and working independently. These skills ensure high-quality, consistent data annotation, which is crucial for developing accurate AI and machine learning models.

What are some common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent labeling accuracy, and managing effective communication with team members across different time zones. To address these, it's helpful to establish a structured work schedule, use productivity tools to minimize distractions, and actively participate in team meetings or chats to clarify annotation guidelines. Regular feedback sessions and quality checks also play a key role in maintaining high annotation standards and fostering professional growth within the team.

What are Remote AI Data Annotators?

Remote AI Data Annotators are professionals who label, categorize, or tag data such as images, text, audio, or video to train and improve artificial intelligence (AI) models. They work remotely, often from home, using specialized software to ensure data is accurate and useful for machine learning algorithms. Their work is essential for helping AI systems learn to recognize patterns, make predictions, and perform tasks like image recognition or natural language processing. Annotators must be detail-oriented and follow specific guidelines to ensure the quality and consistency of labeled data.

What is the difference between Remote Ai Data Annotator vs Remote Machine Learning Data Labeler?

AspectRemote Ai Data AnnotatorRemote Machine Learning Data Labeler
Required CredentialsBasic computer skills, training in annotation toolsSimilar, often no formal degree required
Work EnvironmentRemote, flexible hours, task-basedRemote, task-based, often part-time
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, computer vision, NLP
Search & Comparison IntentHigh overlap, often compared for entry-level rolesSimilar roles, slightly more specialized in data types

The Remote Ai Data Annotator and Remote Machine Learning Data Labeler roles are quite similar, often requiring basic technical skills and working remotely in AI-related industries. The main difference lies in terminology and specific data types labeled, but both roles serve as entry points into AI data preparation, with overlapping skills and work environments.

What are popular job titles related to Remote Ai Data Annotator jobs in Decatur, GA? For Remote Ai Data Annotator jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Annotator jobs in Decatur, GA look for? The top searched job categories for Remote Ai Data Annotator jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Ai Data Annotator jobs? Cities near Decatur, GA with the most Remote Ai Data Annotator job openings:
Remote Ai Data Annotator jobs near you
Corporate Director, Data Science & AI Engineering

Corporate Director, Data Science & AI Engineering

Emory Healthcare

Atlanta, GA • On-site, Remote

Full-time

Posted 13 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 207 frontline employees who took The Breakroom Quiz

158th of 864 rated healthcare providers

Job description

Be inspired.  Be rewarded. Belong. At Emory Healthcare. 

At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be.  We provide: 

  • Comprehensive health benefits that start day 1 
  • Student Loan Repayment Assistance & Reimbursement Programs 
  • Family-focused benefits  
  • Wellness incentives 
  • Ongoing mentorship, development, and leadership programs  
  • And more  

Ideally seeking an Atlanta based candidate able to visit our Atlanta based office, but may consider remote options in the following locations:  applicants residing in or able to relocate to the following states are eligible for hire: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, and Wisconsin


Emory Healthcare (EHC) — Georgia's most comprehensive academic health system — is investing boldly in its AI-powered data future. As we modernize our enterprise data platform on Microsoft Fabric and scale AI capabilities across clinical, research, and operational domains, we are searching for an exceptional leader to serve as Corporate Director, Data Science & AI Engineering.
Dual reporting to the Chief Data & Analytics Officer (CDAO) and the Chief AI Officer (CAIO), this role is the connective tissue between enterprise strategy and AI/ML execution. You will own the data science management vision, lead a multidisciplinary team that includes AI Engineers and Data Scientists, and serve as the primary architect of how Emory Healthcare harnesses advanced machine learning, generative AI, and large-scale analytics to improve patient outcomes and institutional performance.
This is not a theoretical strategy role. We expect our Director to be equally fluent in designing data Science and AI  frameworks, deploying ML models into production, overseeing LLMOps pipelines, and translating complex analytical findings into boardroom-ready strategy — all within a dynamic, mission-driven health system environment.
 
RESPONSIBILITIES:
 
Below is a comprehensive list of the areas this person will be leading:
AI & Machine Learning Operations

  • Provide strategic direction for the design, deployment, and lifecycle management of ML and AI models across clinical and operational use cases.

  • Establish and mature MLOps and LLMOps practices — including model versioning, monitoring, drift detection, and responsible AI guardrails — in collaboration with AI Engineers.

  • Champion the integration of Generative AI and large language model (LLM) capabilities into EHC workflows, identifying high-value use cases and ensuring safe, governed deployment.
  • Partner with the CDAO and CAIO Offices and Emory Digital/OIT to build a scalable, cloud-native ML infrastructure on Microsoft Fabric and Azure, enabling rapid experimentation and production-grade AI delivery.
Data & Advanced Analytics Strategy

  • Collaborate with the Corp Director AI Strategy, Corp Director Data Engineering, and Data & AI Governance Manager to obtain a deep understanding of stakeholder data needs across the Health System and translate those needs into a cohesive, institution-wide executable Data & AI Models.

  • Catalog existing data shortcomings, establish common definitions, and lead initiatives to reduce reporting redundancies and increase data access, sharing, and consumption.

  • Drive advanced analytics initiatives — including predictive modeling, NLP, and population health analytics — that directly inform strategic fundraising, clinical operations, and resource planning.

  • Proactively mine all data sources for untapped opportunities; surface patterns through data modeling that enhance EHC's Digital Data & Analytics roadmap.

Data and AI Governance & Management

  • Design and implement comprehensive data/AI governance policies, data quality frameworks, and data standards in collaboration with Emory partners.

  • Own data lifecycle management strategy: ingestion, transformation, quality, archiving, and retention across structured and unstructured datasets.

  • Work with legal, compliance, and IT to ensure data privacy (HIPAA, GDPR), ethical AI use, and responsible data stewardship practices are embedded in all programs.

  • Lead the modernization of shared data management and analytics architecture, facilitating joint collaborations that leverage Fabric-based shared infrastructure and resources.

Team Leadership & Cross-Functional Collaboration

  • Recruit, develop, and lead a high-performing team of AI Engineers and Data Scientists within the CDAO and CAIO Offices.

  • Cultivate collegial partnerships with Emory University research, IT, and academic groups to build consensus and drive shared AI/data initiatives.

  • Collaborate with external organizations to source and leverage third-party data assets that augment institutional analytics capabilities.

  • Present complex data findings, AI model outputs, and strategic recommendations to senior leadership, boards, and clinical decision-makers with clarity and conviction.

 
PREFERRED QUALIFICATIONS:
  • Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field; advanced degree (PhD) strongly preferred.
  • 10+ years of progressive experience in data science, advanced analytics, or AI/ML leadership — with at least 3 years managing technical teams in an enterprise environment.
  • Demonstrated expertise in machine learning lifecycle management (MLOps): model development, deployment, monitoring, and governance at scale.
  • Hands-on experience with cloud-native data platforms; Microsoft Fabric, Azure ML, or equivalent modern data lakehouse/warehouse architectures.
  • Proficiency in business intelligence and data visualization (Power BI strongly preferred); experience with APIs, Python/R, and large-scale SQL-based analytics.
  • Strong understanding of data governance, ethical use of Data/AI, and privacy regulations (HIPAA experience is a significant plus).
  • Exceptional executive communication skills — ability to synthesize technical complexity into strategic narrative for C-suite and Board-level audiences.
  • Proven ability to lead cross-functional, matrixed teams and collaborate effectively with both business users and technical engineering teams.
  • Experience with Generative AI / Large Language Model (LLM) deployment: prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and LLMOps.
  • Background in healthcare or life sciences data — including clinical data models (FHIR, HL7, OMOP) and EHR analytics.
  • Experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Fabric AI/Copilot) in a production enterprise setting.
  • Familiarity with responsible AI frameworks, bias detection, explainability (XAI), and AI ethics policy development.
  • Experience building and scaling data science and ML platforms in regulated or academic health environments.
  • Certification in cloud platforms (Azure, AWS, GCP), data governance frameworks (DAMA-DMBOK), or AI/ML (Google ML, AWS ML Specialty, etc.).
 
MINIMUM QUALIFICATIONS:
  • Bachelor's degree in data science, engineering, statistics, analytics or related areas, and ten years of related experience, OR an equivalent combination of experience, education, and training.
  • Knowledge about health, research, and/or academic programs.
  • Excellent communication skills and experience presenting findings to decision-makers.
  • Ability to collaborate with senior leadership, work effectively and independently on multiple priorities with strict deliverable dates.
  • Experience working with both business users and technical development teams. Experience with APIs, business intelligence, and data visualization tools (experience WebGIS, RShiny, and/or Microsoft Power BI highly preferred).
  • Experience with Cloud environment and services.
  • Familiarity with data protection and privacy, data ethics, and data governance issues.
  • Strong, demonstrated skills in writing and presentation of findings and analyses.
  • Experience working with large structured and unstructured datasets and telling a compelling story that tracks to value.

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.

Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

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