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Remote Data Evaluation Jobs in Colorado (NOW HIRING)

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 21-40

Remote Data Evaluation information

What is remote data evaluation?

Remote data evaluation is a job where individuals assess, analyze, and interpret data from a location outside of a traditional office setting, often from home. These professionals review various types of data, such as text, images, audio, or user behavior, to ensure quality, accuracy, or to support machine learning models. The work often involves following specific guidelines to categorize or rate data and may be used to improve search engines, AI systems, or digital products. Remote data evaluators typically need strong attention to detail, reliable internet access, and basic technical skills.

What is the difference between Remote Data Evaluation vs Remote Data Entry?

AspectRemote Data EvaluationRemote Data Entry
Primary RoleAnalyzing and assessing data for accuracy and insightsInputting and updating data into systems
Skills RequiredAnalytical skills, attention to detail, data interpretationTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, software-based tasksData input platforms, spreadsheets, databases
Common CertificationsData analysis, quality assuranceBasic computer proficiency, data entry certifications

Remote Data Evaluation involves analyzing data for quality and insights, requiring analytical skills. In contrast, Remote Data Entry focuses on inputting data accurately into systems. Both roles are remote, but they differ in skill requirements and daily tasks, making them distinct career options within the data industry.

What are the key skills and qualifications needed to thrive as a remote data evaluation specialist?

To thrive as a Remote Data Evaluation Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data science, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, Python, or specialized evaluation platforms is typically required. Excellent communication, self-motivation, and time management help you effectively collaborate and meet deadlines while working independently. These skills ensure accurate data interpretation, reliable insights, and efficient remote workflow, which are crucial for organizational decision-making.

What are some common challenges faced by professionals in remote data evaluation roles, and how can they be managed?

One of the main challenges in remote data evaluation is maintaining effective communication with team members and stakeholders, especially when working across different time zones. Additionally, ensuring data security and accuracy without in-person oversight can require extra diligence. Professionals can address these challenges by using collaboration tools, establishing clear protocols, and regularly syncing with their teams to align on project goals and data quality standards. Staying organized and proactively seeking feedback can also help remote data evaluators succeed in a distributed work environment.
What are the most commonly searched types of Data Evaluation jobs in Colorado? The most popular types of Data Evaluation jobs in Colorado are:
What are popular job titles related to Remote Data Evaluation jobs in Colorado? For Remote Data Evaluation jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Evaluation jobs? Cities in Colorado with the most Remote Data Evaluation job openings:
Infographic showing various Remote Data Evaluation job openings in Colorado as of August 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Aurora, CO โ€ข Remote

$70 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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 โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.