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Ai Annotation Remote Jobs in Illinois (NOW HIRING)

Alignerr

Data Security & DLP Analyst

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze realistic data security and DLP ... Familiarity with AI training, annotation, or evaluation workflows * Security certifications such as ...

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

Principal Clinical Scientist

Chicago, IL · Remote

Prior experience with data annotation, data quality evaluation, or AI output assessment ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

Alignerr

Oncology Clinical Researcher

Chicago, IL · Remote

This is a fully remote, flexible contract role. No AI background required - just a strong command ... Prior experience with data annotation, data quality evaluation, or AI assessment workflows

Alignerr

Health Policy & Management

Chicago, IL · Remote

$111.30K - $120K/yr

Experience with data annotation, quality evaluation, or research coordination * Proficiency in data ... Work on high-impact AI projects alongside the world's leading research labs * Fully remote and ...

Alignerr

Medical Science Liaison (MSL)

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Review and evaluate AI-generated medical ... Prior experience with data annotation, content evaluation, or quality review systems * Familiarity ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer * Location: Remote About the job At Alignerr, we partner ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...

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Ai Annotation Remote information

What are the key skills and qualifications needed to thrive as an AI Annotation Remote Worker, and why are they important?

To thrive as an AI Annotation Remote Worker, you need strong attention to detail, data labeling accuracy, and familiarity with basic computer operations, often supported by a high school diploma or higher. Experience with annotation platforms, image/video labeling tools, and understanding of data privacy protocols are typically required. Excellent communication, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, precise data labeling that directly impacts the effectiveness of AI models.

What are the most common challenges faced by remote AI annotation specialists, and how can they be effectively managed?

Remote AI annotation specialists often encounter challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with geographically dispersed teams. To overcome these issues, it's important to establish clear annotation guidelines, participate in regular team check-ins, and use collaboration tools for feedback and support. Utilizing productivity techniques and taking scheduled breaks can also help maintain focus and accuracy throughout the workday.

What are AI Annotation Remote jobs?

AI Annotation Remote jobs involve labeling, categorizing, or tagging data such as images, videos, text, or audio to train artificial intelligence and machine learning models. These tasks are typically performed from home using a computer and specialized annotation tools provided by employers or platforms. The work helps improve the accuracy of AI systems in areas like speech recognition, computer vision, and natural language processing. It is common for these positions to be part-time or contract-based, and attention to detail is essential for success in this field.

What is the difference between Ai Annotation Remote vs Data Labeler?

AspectAi Annotation RemoteData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentOften compared for entry-level AI data tasksRelated role for data preparation tasks

Ai Annotation Remote and Data Labeler roles share similar requirements and work environments, focusing on data annotation for AI systems. However, Ai Annotation Remote often emphasizes more specialized tasks within AI development, while Data Labeler roles may include broader data preparation activities. Both are suitable for remote work and require attention to detail, making them popular choices for those entering the AI industry.

What are the most commonly searched types of Ai Annotation jobs in Illinois? The most popular types of Ai Annotation jobs in Illinois are:
What are popular job titles related to Ai Annotation Remote jobs in Illinois? For Ai Annotation Remote jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Ai Annotation Remote jobs in Illinois look for? The top searched job categories for Ai Annotation Remote jobs in Illinois are:
What cities in Illinois are hiring for Ai Annotation Remote jobs? Cities in Illinois with the most Ai Annotation Remote job openings:
Ai Annotation Remote jobs near you
Infographic showing various Ai Annotation Remote job openings in Illinois as of May 2026, with employment types broken down into 66% Full Time, 30% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Data Security & DLP Analyst

Alignerr

Chicago, IL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Security & DLP Analyst (AI Training)
About the Role
We partner with the world's leading AI research teams to build smarter, safer AI systems. Now we're looking for data security professionals who understand how sensitive information is exposed, detected, and protected in the real world - and want to put that knowledge to work shaping the next generation of AI.
This is a unique opportunity to move beyond traditional security ops and directly influence how AI reasons about data risk, privacy, and protection at scale.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
  • Classify data sensitivity levels, exposure paths, and policy violations
  • Evaluate prevention, detection, and response strategies for realism and accuracy
  • Generate, label, and validate data-security cases used to train and benchmark AI systems
  • Help AI models understand how real-world data leaks happen - and how they should be stopped
Who You Are
  • 2+ years of experience in data security, compliance, information security, or security operations
  • Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
  • Practical understanding of how data risk plays out across modern enterprise environments
  • Able to think like both an attacker and a defender when assessing exposure scenarios
  • Detail-oriented, self-motivated, and comfortable working independently and asynchronously
Nice to Have
  • Hands-on experience with DLP platforms (Microsoft Purview, Forcepoint, Symantec, etc.)
  • Background in cloud security, insider threat detection, or incident response
  • Familiarity with AI training, annotation, or evaluation workflows
  • Security certifications such as CISSP, CISM, CISA, or CompTIA Security+
Why Join Us
  • Work directly on frontier AI systems alongside top research labs
  • Fully remote and flexible - set your own schedule
  • Freelance autonomy with meaningful, intellectually engaging work
  • Contribute to AI that reasons more accurately about real-world security risks
  • Potential for ongoing work and contract extension

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