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Ai Data Labeling Remote Jobs in Springfield, IL (NOW HIRING)

micro1 AI

Pharmacovigilance Expert

Springfield, IL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Bioinformatics Software Engineer

Springfield, IL · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

micro1 AI

Clinical Pharmacy Technicians

Springfield, IL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Director of Biostatistics

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Biostatistician

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Medical Writing Manager

Springfield, IL · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Medical Billing Specialist

Springfield, IL · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Biostatistician

Springfield, IL · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

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Ai Data Labeling Remote information

See Springfield, IL salary details

$20.6K

$87.9K

$203K

How much do ai data labeling remote jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai data labeling remote in Springfield, IL is $87,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,612.00 and $130,415.00 per year, depending on experience, location, and employer.

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

What job categories do people searching Ai Data Labeling Remote jobs in Springfield, IL look for?

The top searched job categories for Ai Data Labeling Remote jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Ai Data Labeling Remote jobs?

Cities near Springfield, IL with the most Ai Data Labeling Remote job openings:

Ai Data Labeling Remote jobs near you
Infographic showing various Ai Data Labeling Remote job openings in Springfield, IL as of August 2026, with employment types broken down into 2% Internship, 62% Full Time, 22% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,860 per year, or $42.2 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Springfield, IL • Remote

$80 - $110/hr

Part-time

Posted 22 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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