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Commission Remote Ai Training Jobs in Baton Rouge, LA

micro1 AI

AI Training Expert - US Tax Law

Baton Rouge, LA · Remote

$65 - $70/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

micro1 AI

Legal AI Trainer - Remote

Baton Rouge, LA · Remote

$90 - $150/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal Counsel - AI Trainer

Baton Rouge, LA · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

AI Legal Counsel - Remote

Baton Rouge, LA · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

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All JobsAi Training JobsCommission Remote Ai Training JobsCommission Remote Ai Training Jobs in Baton Rouge, LA

Commission Remote Ai Training information

See Baton Rouge, LA salary details

$30.7K

$66K

$107.5K

How much do commission remote ai training jobs pay per year?

As of Aug 28, 2026, the average yearly pay for commission remote ai training in Baton Rouge, LA is $65,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $81,100.00 per year, depending on experience, location, and employer.

What is a commission remote AI training job?

Commission Remote AI Training jobs are positions where individuals work remotely to help train artificial intelligence systems, often by labeling data, providing feedback, or completing specific tasks that improve machine learning models. These jobs are usually paid on a commission or task-completion basis, rather than a fixed salary. Common tasks include image annotation, text categorization, or reviewing AI-generated outputs. This work is typically flexible and can be done from anywhere with an internet connection, making it appealing to those seeking remote, part-time, or freelance opportunities.

What skills and qualifications are needed to thrive as a commission remote AI trainer?

To thrive as a Commission Remote AI Trainer, you need a solid understanding of AI concepts, data annotation procedures, and relevant industry standards, typically supported by technical education or experience in data science or machine learning. Familiarity with annotation tools, data labeling platforms, and workflow management systems is crucial for efficient task completion. Strong attention to detail, communication skills, and self-motivation set outstanding trainers apart in remote environments. These skills ensure high-quality training data, effective collaboration, and reliable performance in AI development projects.

What are common challenges faced by professionals working in a commission-based remote AI training role?

Professionals in commission-based remote AI training roles often face the challenge of maintaining consistent income, as earnings are directly tied to performance or task completion. Time management and self-motivation are crucial, since the work is remote and may involve fluctuating workloads. Additionally, clear communication with team members and staying updated on evolving AI guidelines can be demanding, but are essential for delivering high-quality training data. Building strong organizational habits and proactively seeking feedback can help mitigate these challenges and improve job satisfaction.

What is the difference between Commission Remote Ai Training vs Data Labeler?

AspectCommission Remote Ai TrainingData Labeler
CredentialsBasic computer skills, training in AI annotation toolsBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search IntentJobs involving AI training and annotationData labeling and annotation roles

Commission Remote Ai Training involves training AI models by providing labeled data, often requiring specific annotation skills. Data Labelers focus on annotating data to help AI systems learn. While both roles are remote and involve data work, AI training emphasizes model development, whereas data labeling centers on data preparation.

What are the most commonly searched types of Remote Ai Training jobs in Baton Rouge, LA?

The most popular types of Remote Ai Training jobs in Baton Rouge, LA are:

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

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

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

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

What cities near Baton Rouge, LA are hiring for Commission Remote Ai Training jobs?

Cities near Baton Rouge, LA with the most Commission Remote Ai Training job openings:

Commission Remote Ai Training jobs near you
Infographic showing various Commission Remote Ai Training job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $65,951 per year, or $31.7 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Baton Rouge, LA • Remote

$80 - $110/hr

Part-time

Posted 25 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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