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Flexible Remote Image Annotation Jobs in Indiana

Alignerr

Medical Science Liaison (MSL)

Indianapolis, IN · Remote

This is a fully remote, flexible contract role ideal for MSLs, clinical educators, and scientific ... Prior experience with data annotation, content evaluation, or AI quality review * Familiarity with ...

Alignerr

Principal Clinical Scientist

Indianapolis, IN · Remote

This is a fully remote, flexible contract role built for experienced clinical scientists who want ... Prior involvement in data annotation, data quality assurance, or evaluation systems * Experience ...

Manulife

$89.30K - $105.60K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Project a professional image and serve as an example to junior staff. * Manage all aspects of ...

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Flexible Remote Image Annotation information

What are the key skills and qualifications needed to thrive as a Flexible Remote Image Annotation Specialist, and why are they important?

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

What are the most commonly searched types of Remote Image Annotation jobs in Indiana? The most popular types of Remote Image Annotation jobs in Indiana are:
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What cities in Indiana are hiring for Flexible Remote Image Annotation jobs? Cities in Indiana with the most Flexible Remote Image Annotation job openings:
Flexible Remote Image Annotation jobs near you

Medical Science Liaison (MSL)

Alignerr

Indianapolis, IN • Remote

Full-time

Posted 8 days ago

Job description

Medical Science Liaison (MSL) - AI Training
About the Role
We're looking for experienced Medical Science Liaisons and medical affairs professionals to help train and evaluate AI systems designed for life-science and clinical applications. Your scientific expertise will directly shape how AI understands, interprets, and communicates complex biomedical information - making a real impact on the future of healthcare AI.
This is a fully remote, flexible contract role ideal for MSLs, clinical educators, and scientific advisors who want to contribute their expertise beyond traditional field work.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Review and evaluate AI-generated clinical and biomedical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
    • Validate that complex clinical trial data, safety information, and medical evidence are accurately represented in AI outputs
    • Develop and assess scientific communication strategies grounded in real-world medical evidence and HCP engagement experience
    • Identify errors, gaps, or misleading content in AI-generated medical narratives and suggest evidence-based improvements
    • Provide structured feedback using standardized evaluation frameworks to continuously improve AI model quality
    • Work independently and asynchronously on your own schedule
    Who You Are
    • Background in medical affairs, clinical research, or scientific communications with direct HCP engagement experience
    • Strong ability to interpret clinical publications, trial data, and regulatory materials
    • Experience in a field-based or externally facing medical role - MSL, clinical educator, medical advisor, or similar
    • Comfortable evaluating scientific content for both technical accuracy and communicative effectiveness
    • Detail-oriented, self-motivated, and able to work independently
    Nice to Have
    • Prior experience with data annotation, content evaluation, or AI quality review
    • Familiarity with medical affairs workflows across therapeutic areas
    • Advanced degree in a life-science or clinical discipline (PharmD, PhD, MD, or equivalent)
    Why Join Us
    • Work on cutting-edge AI projects at the intersection of life sciences and artificial intelligence
    • Fully remote and flexible - work on your own schedule, as much or as little as suits you
    • Freelance perks: autonomy, variety, and collaboration with global experts
    • Contribute to meaningful work that helps AI get medicine right
    • Potential for ongoing work and contract extension

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