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Day Data Annotation Jobs in Indiana (NOW HIRING)

Toptal

$99.80K - $136.70K/yr

Job Summary We are building a robust Data Annotation Platform designed to be the backbone of AI ... First 60 days * Weeks 1-2 (Onboarding): You'll get your hands dirty in the codebase and get up to ...

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Day Data Annotation information

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

To excel as a Day Data Annotation Specialist, you need strong attention to detail, data entry accuracy, and a solid understanding of the subject matter being annotated, often supported by a high school diploma or relevant experience. Familiarity with annotation tools, spreadsheets, and data management software is typically required. Excellent concentration, time management, and clear communication skills help professionals stand out in this role. These abilities are crucial to ensure high-quality, consistent data labeling that directly impacts the performance of machine learning models and downstream business applications.

What are some common challenges faced by Day Data Annotation specialists and how can they be addressed?

Day Data Annotation specialists often encounter challenges such as maintaining high accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To address these, it's important to develop strong attention to detail, use project guidelines as references, and communicate with team leads or peers when uncertainties arise. Many organizations also provide regular feedback and quality assurance checks, which help annotators improve their performance and consistency over time.

What are Day Data Annotation jobs?

Day Data Annotation jobs involve reviewing and tagging data, such as images, text, audio, or video, during regular daytime hours. Annotators help prepare datasets for machine learning and artificial intelligence by labeling or categorizing information according to specific guidelines. This work is essential for training algorithms to recognize patterns, objects, or language. Day Data Annotation can be done remotely or in-office, and it often requires attention to detail and good communication skills.

What is the difference between Day Data Annotation vs Data Labeler?

AspectDay Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, collaborative teamsRemote or on-site, independent work
Industry UsageAI/ML companies, tech firmsAI/ML, data processing companies
Job FocusAnnotating data for machine learning modelsLabeling data to train AI systems

Day Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI. Day Data Annotation often involves more detailed annotation tasks, while Data Labelers may perform broader labeling activities. Both roles require basic technical skills and are vital in AI development across tech industries.

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

Oncology Clinical Researcher

Alignerr

Indianapolis, IN • Remote

Full-time

Posted 8 days ago

Job description

Oncology Clinical Researcher (AI Training)
About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing research that could one day impact millions of patients?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the systems being built to transform cancer research are grounded in accurate, regulatory-aligned, and scientifically sound clinical knowledge.
This is a fully remote, flexible contract role. No AI background needed - just deep oncology expertise and a sharp eye for clinical quality.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
    • Apply your expertise in trial design - including protocol development, patient enrollment standards, and ethical compliance - to assess and improve AI outputs
    • Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker findings
    • Evaluate how well AI systems translate trial outcomes into regulatory and scientific contexts relevant to FDA/EMA standards
    • Provide structured, expert feedback that directly shapes how frontier AI models reason about real oncology data
    • Work independently and asynchronously - fully on your own schedule
    Who You Are
    • Experienced in designing and managing oncology clinical trials from protocol development through data readout
    • Strong command of oncology clinical data analysis - endpoints, safety profiles, biomarkers, and beyond
    • Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA
    • Naturally detail-oriented with a rigorous, systematic approach to evaluating clinical information
    • Able to communicate complex clinical findings clearly and concisely in written form
    • No prior AI or tech experience required
    Nice to Have
    • Prior experience with data annotation, data quality assessment, or AI evaluation workflows
    • Background in translational oncology, clinical pharmacology, or regulatory affairs
    • Experience authoring or reviewing clinical study reports, IND/NDA submissions, or publications
    • Familiarity with AI tools or clinical decision support platforms as an end user
    Why Join Us
    • Work directly on frontier AI systems that are transforming how cancer research is conducted
    • Fully remote and flexible - work when and where it suits you
    • Freelance autonomy with the structure of meaningful, high-impact project work
    • Influence how AI models understand, evaluate, and reason about real-world oncology data
    • Collaborate with world-leading AI research teams and labs
    • Potential for ongoing work and contract extension as new projects launch

Apply