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Freelance Medical Data Annotation Jobs in Oregon

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Freelance Medical Data Annotation information

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.

What are the key skills and qualifications needed to thrive as a freelance medical data annotator?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

What is the difference between Freelance Medical Data Annotation vs Freelance Medical Transcription?

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

What are the most commonly searched types of Medical Data Annotation jobs in Oregon?

The most popular types of Medical Data Annotation jobs in Oregon are:

What are popular job titles related to Freelance Medical Data Annotation jobs in Oregon?

For Freelance Medical Data Annotation jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Freelance Medical Data Annotation jobs in Oregon look for?

The top searched job categories for Freelance Medical Data Annotation jobs in Oregon are:

What cities in Oregon are hiring for Freelance Medical Data Annotation jobs?

Cities in Oregon with the most Freelance Medical Data Annotation job openings:

Freelance Medical Data Annotation jobs near you

Robotics Software Engineer III, Manipulation

Agility Robotics

Salem, OR • Hybrid

$155K - $241K/yr

Full-time

Posted 8 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About the Role

We are looking for a Robotics Software Engineer III to join our Skills team and develop manipulation behaviors for humanoid robots. You will own a task vertical from definition through reliable on-robot execution, working across learned and classical manipulation approaches.

You will run our LfD flywheel end-to-end for manipulation tasks: collecting data, defining operator instructions, improving data quality, setting up grading rubrics, training policies, evaluating failures, and iterating until the behavior is robust enough for real deployments.

This role is well suited for an engineer who enjoys working close to the robot and being methodical about failure analysis. You will replay logs, identify weak points in the state distribution, root-cause failures, and build the engineering around policies and primitives so the robot can execute complete workflows.

Key Responsibilities

  • Own a task vertical from definition through reliable on-robot execution
  • Work across learned and classical manipulation methods
  • Run iterative policy improvements across data collection, annotation, training, evaluation, and deployment
  • Work closely with teleoperators to improve data quality and operator instructions
  • Develop grading rubrics and evaluation workflows that make progress measurable, where success gets measured by policies that act more reliably on real robots in the real world.
  • Root cause failures using logs, replays, and analysis of state distributions
  • Integrate learned policies with higher-level skills so they can execute inside complete robot workflows
  • Build general manipulation capabilities that reduce the amount of task-specific tuning
  • Experiment with off-the-shelf manipulation and perception models
  • Partner with the ML team that owns the base large behavior model, LfD flywheel, and training recipes used to post-train policies for specific manipulation tasks

About You

  • MS or PhD in Robotics, AI, Computer Science, Machine Learning, or a related field
  • 2+ years of experience deploying manipulation behaviors on real robots
  • Strong software engineering fundamentals and proficiency in Python
  • Experience with robot data collection, training, and testing on hardware to perform manipulation tasks
  • Familiarity with at least some of the following: grasp planning, imitation learning, reinforcement learning, force control, teleoperation, robot sensors, visual servoing, and object perception
  • Strong analytical, experimental, and debugging skills
  • Comfortable working hands-on with robotic systems in a lab environment

This a hybrid position based out of one of our Pittsburgh, PA, Salem, OR or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$155,000—$241,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.