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Data Entry Ai Remote Jobs in Springfield, IL (NOW HIRING)

micro1 AI

Biostatistician

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Director of Biostatistics

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with ...

micro1 AI

Medical Writing Manager

Springfield, IL · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Medical Billing Specialist

Springfield, IL · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

DataAnnotation

FP&A Manager - AI Trainer

Springfield, IL · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsData Entry Ai JobsData Entry Ai Remote JobsData Entry Ai Remote Jobs in Springfield, IL

Data Entry Ai Remote information

See Springfield, IL salary details

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

As of Aug 9, 2026, the average hourly pay for data entry ai remote in Springfield, IL is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

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.

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

Biostatistician

micro1 AI

Springfield, IL • Remote

$60 - $65/hr

Part-time

Posted 5 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. 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. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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