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Remote Ai Tester Jobs in Kansas (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Topeka, KS · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated ...

micro1 AI

Cheminformatics Specialist - Remote

Olathe, KS · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... testing pipelines to ensure task correctness and solvability. * Assess and review AI-generated ...

micro1 AI

Bioinformatics Software Engineer

Kansas City, KS · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

micro1 AI

Bioinformatics Software Engineer

Topeka, KS · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

micro1 AI

Bioinformatics Software Engineer

Wichita, KS · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

micro1 AI

Bioinformatics Software Engineer

Olathe, KS · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

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Remote Ai Tester information

How do I become a remote AI tester?

To become a remote AI tester, you should have a strong understanding of AI and machine learning concepts, along with skills in programming, data analysis, and testing tools. Gaining experience through online courses, certifications, or internships can improve your prospects, and familiarity with platforms like Python, TensorFlow, or similar is often beneficial. Strong communication skills and the ability to work independently are also important for remote roles.

What are the key skills and qualifications needed to thrive as a remote AI tester, and why are they important?

To thrive as a Remote AI Tester, you need a strong understanding of software testing principles, programming basics (such as Python), and familiarity with AI/ML concepts, often supported by a degree in computer science or related field. Experience with testing frameworks, version control systems like Git, and bug tracking tools such as Jira is typically required. Attention to detail, analytical thinking, and effective remote communication are essential soft skills for this role. These skills ensure accurate evaluation of AI systems, reliable test coverage, and seamless collaboration with distributed teams.

What is the difference between Remote Ai Tester vs Remote Data Annotator?

AspectRemote Ai TesterRemote Data Annotator
Required CredentialsBasic understanding of AI/ML concepts, sometimes certifications in testing or QAAttention to detail, training in annotation tools, no formal certifications required
Work EnvironmentRemote, often collaborative with AI development teamsRemote, focused on data labeling and annotation tasks
Industry UsageAI development, machine learning projectsData preparation for AI models, machine learning datasets
Common Search/ComparisonYesYes

Remote Ai Testers and Remote Data Annotators both work remotely in AI-related fields. While Ai Testers focus on evaluating AI models' performance and accuracy, Data Annotators prepare and label data for training AI systems. Both roles require attention to detail and familiarity with AI workflows, but Ai Testers often need a basic understanding of AI concepts, whereas Data Annotators primarily focus on data labeling tasks.

What is a remote AI tester?

Remote AI Testers are professionals who evaluate and validate artificial intelligence systems, algorithms, or applications from a remote location. Their primary role is to ensure that AI models work as intended by testing for accuracy, reliability, and potential biases. They may create test cases, report bugs, and provide feedback to development teams to help improve AI products. This job often requires technical knowledge of AI, attention to detail, and strong communication skills. Working remotely allows AI testers to collaborate with teams globally and test software in various real-world environments.

What are some common challenges faced by remote AI testers, and how can they be addressed?

Remote AI Testers often encounter challenges such as limited direct communication with development teams and difficulties in understanding complex AI models without in-person support. To address these, it’s important to proactively schedule regular virtual meetings, document testing procedures thoroughly, and leverage collaboration tools to share findings efficiently. Staying updated with the latest testing frameworks and maintaining a strong self-management routine can also help ensure productivity and quality while working remotely.

What are popular job titles related to Remote Ai Tester jobs in Kansas?

For Remote Ai Tester jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Ai Tester jobs in Kansas look for?

The top searched job categories for Remote Ai Tester jobs in Kansas are:

Remote Ai Tester jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Wichita, KS • Remote

$80 - $110/hr

Part-time

Posted 12 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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