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

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

... down to help research teams harden model performance Who You Are * Pursuing or holding a Master ... No prior AI or data annotation experience required Nice to Have * Prior experience with data ...

Alignerr

Chemistry Masters

Chicago, IL · Remote

$25 - $33/hr

No prior AI or data annotation experience required Nice to Have * Experience with data annotation, quality evaluation, or academic research * Familiarity with AI tools or large language models

Alignerr

Oncology Clinical Researcher

Chicago, IL · Remote

... research? We're looking for Oncology Clinical Researchers to bring real-world clinical knowledge ... Prior experience with data annotation, data quality evaluation, or AI assessment workflows

Alignerr

Precision Medicine Data Lead

Chicago, IL · Remote

Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory ... Prior experience with data annotation, data quality evaluation, or AI training workflows

Alignerr

Applied Physics

Chicago, IL · Remote

Prior work in data annotation, dataset curation, or scientific evaluation systems * Background in research involving simulation, modelling, or experimental physics Why Join Us * Work on high-impact ...

Alignerr

Biology Masters

Chicago, IL · Remote

$35 - $55/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 Why Join Us: * Excellent ...

Alignerr

Physics Masters

Chicago, IL · Remote

Experience with data annotation, quality evaluation, or academic tutoring * Familiarity with AI or machine learning concepts * Background in research or technical writing Why Join Us * Work on ...

Alignerr

Population Health Informaticist

Chicago, IL · Remote

... research teams and labs to build smarter, more accurate AI models. We're looking for Population ... 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 ... Experience working across multidisciplinary research teams Why Join Us * Work directly on frontier ...

Alignerr

Health Policy & Management

Chicago, IL · Remote

$111.30K - $120K/yr

Experience with data annotation, quality evaluation, or research coordination * Proficiency in data analysis tools such as R, SAS, or Stata * Background in health communication, clinical research, or ...

Alignerr

Nursing Informatics Specialist

Chicago, IL · Remote

Background in data annotation, quality evaluation, or clinical decision support * Familiarity with ... Work on cutting-edge AI projects with top research labs and AI teams * Fully remote and flexible ...

Alignerr

Digital Health Strategist

Chicago, IL · Remote

$35 - $75/hr

... the world's leading AI research teams and healthcare innovators to modernize how digital ... Prior experience with data annotation, data quality, or evaluation systems Why Join Us:

Alignerr

Econometrics Instructor

Chicago, IL · Remote

Prior experience with AI evaluation, data annotation, or model training workflows Why Join Us * Work on cutting-edge AI projects with top research labs shaping the future of machine intelligence

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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

Data Scientist (Masters)

Alignerr

Chicago, IL • Remote

Other

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

Job description

Data Scientist (Masters) - AI Data Trainer
About the Role
What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason through complex problems? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI models - exposing their blind spots and building them into more reliable, rigorous tools.
This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for evaluating AI outputs
  • Audit AI-Generated Code
    - Evaluate AI-produced code using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
  • Sharpen AI Reasoning
    - Identify logical failures in AI outputs - data leakage, overfitting, improper handling of imbalanced datasets - and deliver structured feedback that improves how models think
  • Document Failure Modes
    - Systematically record where and how AI reasoning breaks down to help research teams harden model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
  • Solid foundational knowledge across core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
  • Naturally precise - you catch errors in code syntax, mathematical notation, and statistical logic that others overlook
  • Self-directed and reliable when working independently on task-based assignments
  • No prior AI or data annotation experience required
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation systems
  • Familiarity with production-level data science workflows - MLOps, CI/CD for models, or similar
  • Hands-on experience across multiple modelling domains or industry verticals
  • Background in academic research or technical writing
Why Join Us
  • Work directly with industry-leading AI research labs on frontier model development
  • Fully remote and asynchronous - work when and where it suits you
  • Freelance autonomy with meaningful, intellectually engaging work
  • High-impact contributions: your expertise directly shapes how advanced AI systems reason about data science
  • Potential for ongoing contracts and project renewals as new AI initiatives launch

Apply