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Ai Data Annotation Remote Jobs in Stockbridge, GA

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business ...

Saransh Inc

Salesforce Data Cloud Architect

Atlanta, GA · Remote

$65.25 - $84/hr

Atlanta, GA (Remote) Job Type: Contract Experience Required: Min 10+ years Required: * Client is ... Need project experience with Agent force, nor with AI/ML integrations involving Data Cloud ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Preferred Skills: * Experience with machine learning pipelines and AI/ML model deployment ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Preferred Skills: * Experience with machine learning pipelines and AI/ML model deployment ... Flexible work environment and remote work options. Join us and be part of a team building ...

YO AI Labs

Criminal Defense Attorney - Remote

Atlanta, GA · Remote

$140 - $400/hr

Remote (United States Only) Job Overview We are seeking experienced Criminal Defense Attorneys to ... AI model outputs. * Support continuous improvement of legal data quality and project processes.

YO AI Labs

Clinicia Expert - Remote

Atlanta, GA · Remote

$150 - $200/hr

Clinician Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI systems by evaluating clinical content, reviewing trial data, and providing expert medical ...

YO AI Labs

Hematology Expert - Remote

Atlanta, GA · Remote

$150 - $200/hr

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI systems by evaluating clinical content, reviewing trial data, and providing expert medical ...

YO AI Labs

Hospitalist Physician - Remote

Atlanta, GA · Remote

$70 - $100/hr

Remote Job Overview We are seeking experienced Hospitalist Physicians to contribute their medical ... Review medical records, including FHIR data and clinical notes , for AI training and quality ...

New

YO AI Labs

Oncology Expert - Remote

Atlanta, GA · Remote

$150 - $200/hr

Oncology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI systems by evaluating clinical content, reviewing trial data, and providing expert medical ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ...

YO AI Labs

SolidWorks Expert - Remote

Atlanta, GA · Remote

$40 - $130/hr

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Translate engineering requirements into structured CAD data suitable for AI learning and validation.

YO AI Labs

Medical Writer - Remote

Atlanta, GA · Remote

$50 - $90/hr

Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ... Support AI-assisted documentation evaluation and quality improvement initiatives. Required Skills

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Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

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Ai Data Annotation Remote jobs near you

Cheminformatics Specialist - Remote

micro1 AI

South Fulton, GA • Remote

$80 - $110/hr

Part-time

Posted 23 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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