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Remote Data Evaluation Jobs in Tennessee (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Memphis, TN · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or ...

micro1 AI

Private Funds Attorney - Remote

Nashville, TN · Remote

$90 - $130/hr

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 ...

micro1 AI

Private Funds Attorney - Remote

Memphis, TN · Remote

$90 - $130/hr

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 ...

micro1 AI

Private Funds Attorney - Remote

Knoxville, TN · Remote

$90 - $130/hr

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 ...

micro1 AI

Private Funds Attorney - Remote

Chattanooga, TN · Remote

$90 - $130/hr

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 ...

micro1 AI

Private Funds Attorney - Remote

Clarksville, TN · Remote

$90 - $130/hr

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 ...

micro1 AI

Private Funds Attorney - Remote

Murfreesboro, TN · Remote

$90 - $130/hr

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 ...

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All JobsData Evaluation JobsRemote Data Evaluation JobsRemote Data Evaluation Jobs in Tennessee

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 popular job titles related to Remote Data Evaluation jobs in Tennessee? For Remote Data Evaluation jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Evaluation jobs in Tennessee look for? The top searched job categories for Remote Data Evaluation jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Evaluation jobs? Cities in Tennessee with the most Remote Data Evaluation job openings:
Remote Data Evaluation jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Knoxville, TN • Remote

$80 - $110/hr

Part-time

Posted 12 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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