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Ai Tasker Jobs in Oklahoma (NOW HIRING)

micro1 AI

Business Document AI Trainer - Remote

Tulsa, OK · Remote

$35 - $50/hr

Design and create realistic business tasks and scenarios based on your professional experience ... Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Tulsa, OK · Remote

$35 - $50/hr

Design and create realistic business tasks and scenarios based on your professional experience ... Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy ...

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Ai Tasker information

What is an AI Tasker?

An AI Tasker is responsible for training, testing, and refining artificial intelligence models by completing various tasks such as labeling data, reviewing AI-generated content, and providing feedback on model outputs. This role helps improve AI systems by ensuring accuracy and relevance in their responses. AI Taskers often work remotely and require attention to detail, critical thinking skills, and familiarity with AI tools.

What does an AI Tasker do?

As an AI Tasker, your day often involves reviewing and managing a variety of AI-assisted assignments such as data categorization, process automation, or QA testing on digital platforms. You may coordinate with team members to clarify project requirements, set priorities, and troubleshoot technical issues that arise during task execution. Regular collaboration with both AI engineers and project managers helps ensure deliverables meet quality standards and deadlines. The workload can be dynamic, requiring flexibility and proactive communication to handle shifting project demands efficiently.

What are the key skills and qualifications needed to thrive as an AI Tasker?

To thrive as an AI Tasker, you need a strong understanding of artificial intelligence concepts, data analysis, and problem-solving abilities, often supported by a background in computer science or a related field. Familiarity with AI platforms, automation tools, and workflow management systems is typically required, along with knowledge of APIs and task management software. Strong communication, attention to detail, and adaptability help AI Taskers excel when collaborating and managing diverse, technology-driven assignments. These capabilities are critical for ensuring accurate execution of AI-powered tasks and effective integration with business processes.

What is the easiest AI Tasker job to get?

The easiest AI Tasker jobs typically involve simple data labeling, annotation, or basic content moderation tasks that require minimal technical skills. These roles often have low entry barriers, do not require advanced certifications, and can be performed remotely with basic computer literacy and attention to detail.

What are the most commonly searched types of Ai Tasker jobs in Oklahoma?

The most popular types of Ai Tasker jobs in Oklahoma are:

What are popular job titles related to Ai Tasker jobs in Oklahoma?

For Ai Tasker jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Ai Tasker jobs in Oklahoma look for?

The top searched job categories for Ai Tasker jobs in Oklahoma are:

What cities in Oklahoma are hiring for Ai Tasker jobs?

Cities in Oklahoma with the most Ai Tasker job openings:

Ai Tasker jobs near you
Infographic showing various Ai Tasker job openings in Oklahoma as of August 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Temporary. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Tulsa, OK • 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.

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