Process, synchronize, and validate motion capture datasets involving both human meshes and 3D objects, while developing tools for data calibration, quality assurance, and annotation. * Propose and ...
Process, synchronize, and validate motion capture datasets involving both human meshes and 3D objects, while developing tools for data calibration, quality assurance, and annotation. * Propose and ...
Molecular Technologist
$57K - $85K/yr
... data to ensure analytical accuracy and compliance with quality standards * Perform routine quality control review, documentation, and laboratory record maintenance * Assist with annotation and ...
Quick apply
Molecular Technologist
$57K - $85K/yr
... data to ensure analytical accuracy and compliance with quality standards * Perform routine quality control review, documentation, and laboratory record maintenance * Assist with annotation and ...
Data Annotation information
What does a data annotation do?
A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.
How much money can I make doing data annotation?
What is a data annotation?
A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.
What are the key skills and qualifications needed to thrive in data annotation?
To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 18 days ago
Carnegie Mellon University rating
8.6
Based on 24 frontline employees who took The Breakroom Quiz
67th of 617 rated colleges and universities
Job description
Carnegie Mellon University's Robotics Institute is searching for a Project Scientist/Engineer to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment.
We are seeking creative and energetic Project Scientist/Engineer that is responsible for determining priorities for project area based on overall organizational goals. The incumbent will direct the work of project members to ensure goals are achieved. Frequently presents research findings to current or potential sponsors and at major national or international conferences.
Responsibilities:
Acts as team leader, providing project management direction.
Contributor in developing and documenting research findings and collaborator in writing scientific papers.
Develop and maintain pipelines for processing large-scale 3D human datasets, including human mesh reconstruction, mesh cleanup, optimization, and conversion between parametric body models such as HMR and SMPL.
Lead research efforts within main goals of project, and help coordinate interactions with other team members and universities.
Process, synchronize, and validate motion capture datasets involving both human meshes and 3D objects, while developing tools for data calibration, quality assurance, and annotation.
Propose and lead independent research goals within scope of projects.
Support research in 3D human modeling by implementing and optimizing algorithms for human mesh recovery, pose estimation, and parametric human body representations to enable downstream computer vision, robotics, and generative AI research.
Writing documentation, technical papers, progress reports and participating in meetings/committees.
Other duties as assigned.
Requirements:
Bachelor's Degree
Strong Analytical Skills
Excellent Oral and Written Communication Skills
Excellent Project Management Skills
5-8 Years of Research Experience
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Training:
OSHA - Hazardous Materials Safety Training
Are you interested in this exciting opportunity?! Apply today!
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PAJob Function
Engineering, Research and Project ScientistsPosition Type
Staff - Fixed Term (Fixed Term)Full Time/Part time
Full timePay Basis
SalaryMore Information:
Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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