ZipRecruiter

Log In

2

Remote Ai Language Training Jobs in Baton Rouge, LA

micro1 AI

AI Training Specialist - Physics

Baton Rouge, LA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

next page

Showing results 1-20

All JobsAi Language Training JobsRemote Ai Language Training JobsRemote Ai Language Training Jobs in Baton Rouge, LA

Remote Ai Language Training information

See Baton Rouge, LA salary details

$14

$40

$74

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

As of Aug 18, 2026, the average hourly pay for remote ai language training in Baton Rouge, LA is $40.53, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $51.68 per hour, depending on experience, location, and employer.

What are popular job titles related to Remote Ai Language Training jobs in Baton Rouge, LA?

For Remote Ai Language Training jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Language Training jobs in Baton Rouge, LA look for?

The top searched job categories for Remote Ai Language Training jobs in Baton Rouge, LA are:

Remote Ai Language Training jobs near you
Infographic showing various Remote Ai Language Training job openings in Baton Rouge, LA as of June 2026, with employment types broken down into 70% Part Time, and 30% Temporary. Highlights an 100% Remote job distribution, with an average salary of $84,309 per year, or $40.5 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Baton Rouge, LA • Remote

$80 - $110/hr

Part-time

Posted 15 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