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Data Entry Ai Remote Jobs in Novi, MI (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Data Entry Ai Remote information

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How much do data entry ai remote jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data entry ai remote in Novi, MI is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.53 per hour, depending on experience, location, and employer.

What is a data entry AI remote?

A Data Entry AI Remote job involves entering, updating, or verifying data using computer systems and AI-powered tools, all while working from a remote location. This role often requires accuracy, attention to detail, and proficiency with digital platforms. Tasks may include organizing large datasets, labeling data for machine learning, or reviewing automated data entries for quality assurance. Many companies hire remote data entry specialists to handle digital records and support AI model development. This job offers flexibility and can often be performed from home.

What are the key skills and qualifications needed to thrive as a data entry AI remote worker?

To thrive as a Data Entry AI Remote worker, you need excellent typing skills, attention to detail, accuracy, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (like Microsoft Excel or Google Sheets), and sometimes basic knowledge of AI-powered data processing tools is required. Strong organizational skills, time management, and the ability to work independently are vital soft skills for remote success. These skills ensure data is entered quickly and correctly, maintaining the integrity and usefulness of company information systems.

How does a remote data entry AI role typically collaborate with other team members and departments?

In a remote Data Entry AI position, collaboration often happens through digital communication tools such as email, chat platforms, and project management software. You may work closely with teams like data science, quality assurance, and IT to ensure data accuracy and streamline automated processes. Regular virtual meetings help clarify project goals, address challenges, and share updates. Being proactive in communication and maintaining organized records is key to effective teamwork in this remote environment.

What is the difference between Data Entry Ai Remote vs Data Entry Clerk?

AspectData Entry Ai RemoteData Entry Clerk
CredentialsBasic computer skills, familiarity with AI toolsHigh school diploma or equivalent, basic computer skills
Work EnvironmentRemote, often freelance or contract-basedOffice or remote, depending on employer
Industry UsageTech companies, AI startups, data servicesVarious industries including healthcare, finance, retail
Job TasksData input, validation, working with AI-assisted toolsData entry, data verification, basic administrative tasks

While both roles involve data input, Data Entry Ai Remote emphasizes working with AI tools remotely, often requiring familiarity with AI software. Data Entry Clerk is a more traditional role focused on manual data entry across various industries. The main difference lies in the use of AI technology and remote work flexibility.

Are any remote data entry ai jobs legit?

Remote data entry AI jobs are legitimate opportunities, often involving tasks like data labeling, transcription, or annotation using specialized tools. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and review reviews or ratings to ensure legitimacy.

What are popular job titles related to Data Entry Ai Remote jobs in Novi, MI?

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What job categories do people searching Data Entry Ai Remote jobs in Novi, MI look for?

The top searched job categories for Data Entry Ai Remote jobs in Novi, MI are:

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Data Entry Ai Remote jobs near you

AI Training Specialist - Cheminformatics

Sterling Heights, MI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 23 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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