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Flexible Remote Ai Training information

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$15

$42

$77

How much do flexible remote ai training jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for flexible remote ai training in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

What is the difference between Flexible Remote Ai Training vs Data Annotator?

AspectFlexible Remote Ai TrainingData Annotator
CredentialsBasic technical skills, sometimes certifications in AI or machine learningNone typically required, but attention to detail is essential
Work EnvironmentRemote, flexible hours, often project-basedRemote, flexible hours, often task-specific
Industry UsageAI development, machine learning training datasetsData labeling, dataset preparation for AI models
Search & Comparison IntentUnderstanding roles in AI training, remote AI jobsData labeling, dataset annotation roles

Flexible Remote Ai Training involves preparing and training AI models, often requiring some technical knowledge. Data Annotator focuses on labeling data to help train AI systems, usually with minimal technical skills. Both roles are remote and support AI development, but they differ in responsibilities and skill requirements.

Are there remote jobs to train AI?

Yes, remote AI training jobs are available and often involve tasks such as data labeling, annotation, and model validation. These roles typically require strong attention to detail, familiarity with AI tools, and sometimes specific certifications or training in data management. They are commonly offered on flexible schedules and can be suitable for individuals seeking remote work opportunities in AI development.

Can I be a flexible remote AI trainer with no experience?

Flexible remote AI training roles often do not require prior experience, as they focus on tasks like data labeling and annotation, which can be learned on the job. Basic computer skills and attention to detail are typically sufficient, and training is usually provided to new hires.
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Flexible Remote Ai Training jobs near you
Infographic showing various Flexible Remote Ai Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Memphis, TN • Remote

$80 - $110/hr

Part-time

Posted 18 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.

Apply