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Remote Data Quality Jobs in Hawaii (NOW HIRING)

$139K - $168K/yr

Our engineers focus on creating polished products and writing high quality code by designing APIs ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our engineers focus on creating polished products and writing high quality code by designing APIs ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

$139K - $168K/yr

Our engineers focus on creating polished products and writing high quality code by designing APIs ... Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ...

Remote/Relocation position PFB job details for HIM Hospital Coder. They are looking for a coder ... Must be able to meet quantity and quality standards established for Coders I. * Basic PC skills.

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Tardus Sales Manager

Honolulu, HI · On-site +1

$135K - $155K/yr

Honolulu, HI - Remote within the United States Schedule: Full-time; reliable working-hour overlap ... Use objective performance data-including outreach, qualified meetings, introductions, follow-up ...

Showing results 21-40

Remote Data Quality information

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 the most commonly searched types of Data Quality jobs in Hawaii?

The most popular types of Data Quality jobs in Hawaii are:

What are popular job titles related to Remote Data Quality jobs in Hawaii?

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

What job categories do people searching Remote Data Quality jobs in Hawaii look for?

The top searched job categories for Remote Data Quality jobs in Hawaii are:

What cities in Hawaii are hiring for Remote Data Quality jobs?

Cities in Hawaii with the most Remote Data Quality job openings:

AI Training Specialist - Life Sciences

micro1 AI

Honolulu, HI • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.