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Remote Data Quality Jobs in Springfield, IL (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Biostatistician

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Biostatistician

Springfield, IL · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Showing results 21-40

Remote Data Quality information

See Springfield, IL salary details

$16

$41

$70

How much do remote data quality jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote data quality in Springfield, IL is $41.07, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $53.85 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Remote Data Quality jobs in Springfield, IL?

For Remote Data Quality jobs in Springfield, IL, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Data Quality job openings in Springfield, IL as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $85,421 per year, or $41.1 per hour.

Bioinformatics Software Engineer

micro1 AI

Springfield, IL • 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.