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Remote Ai Data Trainer Jobs in Renton, WA (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Renton, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Document laboratory methodologies, data, and findings clearly and accurately, ensuring ...

micro1 AI

AI Training Specialist - Chemistry

Kent, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Document laboratory methodologies, data, and findings clearly and accurately, ensuring ...

micro1 AI

AI Training Specialist - Chemistry

Tacoma, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Document laboratory methodologies, data, and findings clearly and accurately, ensuring ...

Initio Capital

Corporate Strategy Analyst

Seattle, WA · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Initio Capital

B2B Growth Research Analyst

Seattle, WA · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

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How much do remote ai data trainer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote ai data trainer in Renton, WA is $35.14, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $40.00 per hour, depending on experience, location, and employer.

What is a remote AI data trainer?

A Remote AI Data Trainer is a professional who works from a remote location to help train artificial intelligence systems by preparing, labeling, and reviewing data sets. This role often involves annotating images, text, audio, or video to ensure AI models learn correctly from quality data. Remote AI Data Trainers may also evaluate the performance of AI outputs and provide feedback for improvements. They typically work with machine learning engineers and data scientists to support the development of accurate and ethical AI systems.

What are the key skills and qualifications needed to thrive as a remote AI data trainer?

To thrive as a Remote AI Data Trainer, you need strong analytical skills, attention to detail, and experience in data annotation or evaluation, often supported by a background in computer science, linguistics, or a related field. Familiarity with data labeling platforms, AI training tools, and sometimes programming languages like Python is typically required. Excellent communication, self-motivation, and the ability to work independently are key soft skills for remote collaboration and consistent performance. These skills ensure high-quality data preparation, accurate AI model training, and effective teamwork in distributed environments.

What are some typical challenges remote AI data trainers face when working with diverse datasets?

Remote AI Data Trainers often work with datasets that vary greatly in structure, quality, and subject matter. One common challenge is ensuring consistency and accuracy while annotating or labeling data, especially when guidelines are complex or ambiguous. Additionally, working remotely requires strong communication skills to collaborate effectively with data scientists, project managers, and other trainers. Staying organized and managing time efficiently are crucial since trainers might juggle multiple projects or deadlines. Regular feedback sessions and adherence to detailed documentation help overcome these challenges and maintain high-quality output.

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Remote Ai Data Trainer jobs near you
Infographic showing various Remote Ai Data Trainer job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $73,096 per year, or $35.1 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Federal Way, WA • Remote

$80 - $110/hr

Part-time

Posted 19 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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