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Data Annotation Research Jobs in Park Ridge, IL (NOW HIRING)

Alignerr

Accounting Instructor

Chicago, IL · Remote

Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us * Work on cutting-edge AI projects with top research labs * Fully remote and flexible - work on your own ...

Alignerr

Cloud Security Analyst

Chicago, IL · Remote

Familiarity with frameworks like CIS Benchmarks, NIST, or SOC 2 * Prior work on AI or data annotation projects Why Join Us * Work directly on frontier AI systems with top research labs * Fully remote ...

Alignerr

Business Analyst

Chicago, IL · Remote

Experience with data annotation, data quality, or content evaluation systems * Background in case study writing, academic research, or structured business content creation Why Join Us * Work on real ...

Alignerr

Medical Science Liaison (MSL)

Chicago, IL · Remote

Interpret clinical trial data, research publications, and regulatory materials to assess whether AI ... Prior experience with data annotation, content evaluation, or quality review systems * Familiarity ...

Alignerr

Security Operations Analyst

Chicago, IL · Remote

Prior involvement in AI evaluation, data annotation, or training workflows Why Join Us * Work on cutting-edge AI projects alongside top security researchers and AI labs * Fully remote and flexible ...

Alignerr

Applied Physics Specialist

Chicago, IL · Remote

... data annotation, scientific dataset evaluation, or quality assurance workflows * Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools * Background in research ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...

Alignerr

Electrical Engineering

Chicago, IL · Remote

... research labs to train the next generation of intelligent systems - and we need experienced ... Experience with data annotation, technical writing, or quality evaluation * Familiarity with ...

Alignerr

Mechanical Engineering

Chicago, IL · Remote

... research labs. Your deep technical knowledge will directly shape how AI understands and reasons ... Experience with data annotation, data quality evaluation, or technical review workflows

Alignerr

Business Performance Analyst

Chicago, IL · Remote

Experience with data annotation, data quality evaluation, or content assessment workflows * Background in case study writing, academic research, or structured business content creation * Familiarity ...

Alignerr

Finance Lecturer (AI Training)

Chicago, IL · Remote

Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us * Work on cutting-edge AI projects with top research labs and frontier language models * Fully remote and ...

Alignerr

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...

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Data Annotation Research information

What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What job categories do people searching Data Annotation Research jobs in Park Ridge, IL look for? The top searched job categories for Data Annotation Research jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Data Annotation Research jobs? Cities near Park Ridge, IL with the most Data Annotation Research job openings:
Data Annotation Research jobs near you

Accounting Instructor

Alignerr

Chicago, IL • Remote

Full-time

Posted 19 days ago

Job description

Accounting Instructor (AI Training)
About the Role
We're looking for experienced accounting instructors to help shape how AI understands financial concepts. Your expertise will directly influence the accuracy and quality of AI systems trained on accounting principles - making a real impact on how the next generation of AI handles financial reasoning.
  • Organization
    : Alignerr (Powered by Labelbox)
  • Type
    : Hourly / Task-based Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Review and evaluate accounting questions, explanations, and worked examples used in AI training datasets
    • Assess the accuracy of content covering financial statements, bookkeeping, managerial accounting, and internal controls
    • Identify errors, edge cases, and misleading or incomplete explanations
    • Provide clear, structured feedback to improve the precision and pedagogical quality of AI outputs
    • Work independently and asynchronously to meet project milestones on your own schedule
    Who You Are
    • 3+ years of experience teaching accounting at the postsecondary or professional level
    • Strong command of both financial and managerial accounting principles
    • Ability to critically evaluate written quantitative and rule-based reasoning
    • Detail-oriented and comfortable reviewing structured content at scale
    • Self-motivated and reliable in a remote, async work environment
    Nice to Have
    • CPA designation or Master's degree in Accounting
    • Hands-on experience in auditing, financial analysis, or applied accounting roles
    • Familiarity with AI systems, model evaluation, or data annotation workflows
    Why Join Us
    • Work on cutting-edge AI projects with top research labs
    • Fully remote and flexible - work on your own schedule
    • Freelance perks: autonomy, variety, and global collaboration
    • Contribute to meaningful work that improves how AI reasons about finance and accounting
    • Potential for ongoing work and contract extension

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