Prior involvement in data annotation, data quality assurance, or evaluation systems * Experience ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
Prior involvement in data annotation, data quality assurance, or evaluation systems * Experience ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
Prior experience with data annotation, data quality assessment, or AI evaluation workflows ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
Prior experience with data annotation, data quality assessment, or AI evaluation workflows ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
Freelance Remote Image Annotation information
See Pendleton, IN salary details
$28.65 - $32.34
3% of jobs
$32.34 - $36.02
2% of jobs
$36.02 - $39.71
0% of jobs
$39.71 - $43.39
0% of jobs
$43.39 - $47.08
0% of jobs
$47.08 - $50.76
1% of jobs
$50.76 - $54.45
0% of jobs
$54.45 - $58.13
17% of jobs
$58.44 is the 25th percentile. Wages below this are outliers.
$58.13 - $61.82
25% of jobs
The median wage is $62.11 / hr.
$61.82 - $65.50
26% of jobs
$65.65 is the 75th percentile. Wages above this are outliers.
$65.50 - $69.19
26% of jobs
$28
$60
$69
How much do freelance remote image annotation jobs pay per hour?
As of May 31, 2026, the average hourly pay for freelance remote image annotation in Pendleton, IN is $60.60, according to ZipRecruiter salary data. Most workers in this role earn between $58.46 and $66.15 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Freelance Remote Image Annotation Specialist, and why are they important?
To excel as a Freelance Remote Image Annotation Specialist, you need strong attention to detail, visual analysis skills, and a basic understanding of computer vision concepts, often supported by experience or training in data annotation. Familiarity with annotation tools like Labelbox, VGG Image Annotator, or Supervisely, as well as basic proficiency in using cloud-based platforms, is typically required. Time management, reliability, and effective written communication are crucial soft skills for meeting deadlines and collaborating remotely. These competencies ensure high-quality, accurate datasets essential for training AI models and supporting machine learning projects.
What are some common challenges faced in freelance remote image annotation, and how can they be managed effectively?
Freelance remote image annotation professionals often face challenges such as maintaining high accuracy under tight deadlines, handling repetitive tasks, and ensuring consistent internet connectivity. Managing these challenges involves developing a strong attention to detail, setting up a distraction-free workspace, and using time management tools to balance multiple projects. Regular communication with project managers and staying updated on annotation guidelines also help ensure quality and efficiency in the role.
What is freelance remote image annotation?
Freelance remote image annotation involves labeling or tagging elements within images to help train artificial intelligence and machine learning models. As a freelancer, you work from home or any location, using online platforms or specialized software to mark objects, boundaries, or features within digital images according to specific guidelines. This work is essential for industries like autonomous vehicles, healthcare, and e-commerce, as annotated images enable computers to 'see' and understand visual data. Freelance image annotators typically get paid per task or project, offering flexibility and the opportunity to work with multiple clients. Attention to detail, time management, and basic computer skills are important for success in this role.
What is the difference between Freelance Remote Image Annotation vs Freelance Remote Data Labeling?
| Aspect | Freelance Remote Image Annotation | Freelance Remote Data Labeling |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, natural language processing |
| Job Focus | Labeling images with bounding boxes, polygons, or masks | Labeling data for various AI models, including images, text, or audio |
Freelance Remote Image Annotation primarily involves labeling images for AI training, focusing on visual data. Freelance Remote Data Labeling covers a broader range of data types, including images, text, and audio, for AI applications. While both roles require attention to detail and remote work skills, image annotation is more specialized in visual data, whereas data labeling encompasses multiple data formats.
Full-time
Posted 9 days ago
Job description
Principal Clinical Scientist (AI Training)
About the Role
What if your career-long expertise in clinical trial design and regulatory science could directly shape how AI understands and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to frontier AI research - ensuring the clinical data and analyses powering next-generation AI systems meet the same exacting standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to contribute to something genuinely new. No AI background required - just deep command of clinical research and a sharp eye for scientific quality.
About the Role
What if your career-long expertise in clinical trial design and regulatory science could directly shape how AI understands and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to frontier AI research - ensuring the clinical data and analyses powering next-generation AI systems meet the same exacting standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to contribute to something genuinely new. No AI background required - just deep command of clinical research and a sharp eye for scientific quality.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week What You'll Do - Design and critically review clinical trial protocols used to generate high-quality, regulatory-grade datasets for AI training
- Interpret and audit clinical trial results for accuracy, consistency, and alignment with regulatory expectations
- Evaluate AI-generated clinical analyses for scientific soundness and methodological integrity
- Provide structured expert feedback that directly improves how AI models reason about clinical evidence, outcomes, and trial data
- Work independently and asynchronously - fully on your own schedule
- Senior-level experience designing clinical trial protocols intended for regulatory submission
- Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent global bodies
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Naturally detail-oriented with a rigorous, systematic approach to evaluating scientific quality
- Clear and precise written communicator - able to document findings and feedback with authority
- No prior AI or tech experience required
- Prior involvement in data annotation, data quality assurance, or evaluation systems
- Experience reviewing or contributing to clinical evidence packages for drug, device, or diagnostic submissions
- Background spanning multiple therapeutic areas or trial phases
- Familiarity with AI-generated content or model evaluation workflows
- Work directly on frontier AI systems with real impact on clinical and biomedical research
- Fully remote and flexible - work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI understands, evaluates, and communicates real-world clinical evidence
- Potential for ongoing work and contract extension as new projects launch