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Remote Entry Level Data Annotation Jobs in Chicago, IL

Alignerr

Population Health Informaticist

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Evaluate AI-generated outputs related to ... Prior experience with data annotation, data quality review, or evaluation systems * Familiarity ...

Alignerr

Nursing Informatics Specialist

Chicago, IL · Remote

Background in data annotation, quality evaluation, or clinical decision support * Familiarity with ... Fully remote and flexible - set your own hours and workload * Apply your clinical expertise in a ...

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How much do remote entry level data annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote entry level data annotation in Chicago, IL is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Annotation specialist, and why are they important?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry-level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is a Remote Entry Level Data Annotation job?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

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

Environmental Engineering - AI Data Trainer

Alignerr

Chicago, IL • Remote

Full-time

Posted 23 days ago

Job description

Environmental Engineering - AI Data Trainer
About the Role
We partner with the world's leading AI research labs to build smarter, more technically accurate AI models. Now, we're looking for environmental engineers to bring their domain expertise to the frontier of AI development.
Your knowledge of water treatment, air quality, and hazardous waste isn't just valuable in the field - it's exactly what's needed to make AI systems more reliable, rigorous, and safe. You'll challenge advanced language models with expert-level problems, expose their blind spots, and help shape how the next generation of AI reasons about environmental science and engineering.
This is a fully remote, flexible contract role - work on your own schedule, 10 to 40 hours per week.
What You'll Do
  • Design Expert-Level Problems
    - Develop complex, multi-step environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
  • Author Gold-Standard Solutions
    - Write rigorous, step-by-step technical solutions - including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations - that set the benchmark for correct AI responses
  • Audit AI Outputs
    - Critically evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and compliance with standards like EPA regulations and ISO 14001
  • Sharpen AI Reasoning
    - Identify logical errors in AI thinking - such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts - and provide structured feedback that directly improves model performance
    • Who You Are
    • Advanced Degree
      - Masters (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline
    • Domain Expertise
      - Strong foundation in one or more areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
    • Analytical Writer
      - Able to communicate complex ecological and engineering concepts clearly and precisely in written form
    • Detail-Oriented
      - High precision when checking unit conversions, chemical equations, and regulatory compliance logic
    • No prior AI experience required
      - if you know your field, we'll handle the rest
      • Nice to Have
      • Prior experience with data annotation, data quality, or evaluation workflows
      • Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)
      Why Join Us
      • Work on cutting-edge AI projects with top research labs and AI teams
      • Fully remote and asynchronous - work when and where it suits you
      • Freelance flexibility with meaningful, intellectually engaging work
      • Contribute to AI systems that will be used across environmental, scientific, and engineering contexts worldwide
      • Potential for ongoing work and contract extension based on performance

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