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Remote Science Jobs in Raleigh, NC (NOW HIRING)

AI Data Science Evaluator

Raleigh, NC ยท Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies.

Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to unlocking urgently needed new treatment options in mental health care. The Company is headquartered

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

Staff Scientist

Raleigh, NC ยท On-site +1

ARA's IntraRisk Group is seeking a staff scientist to work with a multidisciplinary team to develop and implement engineering computer models for high wind hazards, structural response, and loss

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Showing results 1-20

Remote Science information

See Raleigh, NC salary details

$23.8K

$47K

$76.8K

How much do remote science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote science in Raleigh, NC is $47,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $50,500.00 per year, depending on experience, location, and employer.

What is remote science?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

What skills and qualifications are needed to thrive as a remote science professional?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What remote science jobs are there?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific software, and may involve collaboration through digital communication tools.

What are the most commonly searched types of Science jobs in Raleigh, NC?

The most popular types of Science jobs in Raleigh, NC are:

What are popular job titles related to Remote Science jobs in Raleigh, NC?

For Remote Science jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Remote Science jobs?

Cities near Raleigh, NC with the most Remote Science job openings:

Infographic showing various Remote Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 11% Internship, 77% Full Time, and 12% Part Time. Highlights an 100% Remote job distribution, with an average salary of $47,040 per year, or $22.6 per hour.

AI Data Science Evaluator

Raleigh, NC โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$245 - $280/hr

Part-time

Posted 17 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts