Perform manual annotation and verification when necessary to generate high-quality ground truth ... researchers.
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Perform manual annotation and verification when necessary to generate high-quality ground truth ... researchers.
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Proofread and edit research data and documents to ensure accuracy. Prepare and present ... annotation, and quantitative image analysis. Qualifications: Education: Bachelor's degree Bachelor ...
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training ... Translate research concepts into scalable, production-ready AI systems. Collaborate with cross ...
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training ... Translate research concepts into scalable, production-ready AI systems. Collaborate with cross ...
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training ... Translate research concepts into scalable, production-ready AI systems. Collaborate with cross ...
Quick apply
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training ... Translate research concepts into scalable, production-ready AI systems. Collaborate with cross ...
Senior Applied Scientist, Document Understanding
Ann Arbor, MI · On-site
$89K - $122K/yr
... annotation and synthetic data * Drive independent technical decisions on chunking strategy ... Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and ...
Senior Applied Scientist, Document Understanding
Ann Arbor, MI · On-site
$89K - $122K/yr
... annotation and synthetic data * Drive independent technical decisions on chunking strategy ... Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and ...
... research-only experience * Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent ... Synthetic data generation and annotation workflow design * End-to-end evaluation framework design ...
... research-only experience * Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent ... Synthetic data generation and annotation workflow design * End-to-end evaluation framework design ...
Senior Robotic AI-Perception Engineer - Only W2
Warren, MI · On-site
$98K - $134K/yr
... data collection, annotation, preprocessing, model training, and evaluation. · Collaborate with ... D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field ...
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Senior Robotic AI-Perception Engineer - Only W2
Warren, MI · On-site
$98K - $134K/yr
... data collection, annotation, preprocessing, model training, and evaluation. · Collaborate with ... D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field ...
Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model ... D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
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Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model ... D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
... expert annotation and synthetic data generation * Drive independent technical decisions on ... Contribute to published research at venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, and ICLR, and ...
... expert annotation and synthetic data generation * Drive independent technical decisions on ... Contribute to published research at venues such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, and ICLR, and ...
Certified Medical Assistant/Medical Scribe
Owosso, MI · On-site
$15.25 - $19.75/hr
... annotation, under their own login profile, into the Electronic Health Record (EHR) of any dictated ... data. Must use the internet to access schedules, research information, etc. * Other Skills and ...
Certified Medical Assistant/Medical Scribe
Owosso, MI · On-site
$15.25 - $19.75/hr
... annotation, under their own login profile, into the Electronic Health Record (EHR) of any dictated ... data. Must use the internet to access schedules, research information, etc. * Other Skills and ...
Data Annotation Research information
What qualifications do I need for data annotation?
Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.
What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?
Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.
Does data annotation actually pay?
Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.
How hard is it to get hired by data annotation?
Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.
What is the difference between Data Annotation Research vs Data Labeling Specialist?
| Aspect | Data Annotation Research | Data Labeling Specialist |
|---|---|---|
| Credentials | Typically requires a background in data science, research methods, or related fields | Often requires basic technical skills and experience with labeling tools |
| Work Environment | Research labs, tech companies, or remote research teams | Data centers, tech companies, or remote labeling teams |
| Industry Usage | Used in AI/ML research, developing annotation methodologies | Used in preparing datasets for machine learning models |
| Search & Comparison Intent | Understanding research-focused roles in data annotation | Looking for practical data labeling jobs |
Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.
Is data annotation real or fake?
Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.
What is data annotation research?
Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.
What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?
To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are popular job titles related to Data Annotation Research jobs in Michigan? For Data Annotation Research jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Michigan look for? The top searched job categories for Data Annotation Research jobs in Michigan are:
What cities in Michigan are hiring for Data Annotation Research jobs? Cities in Michigan with the most Data Annotation Research job openings:
Contractor
Posted 3 days ago
Job description
Position: Robotics Data Collection Engineer
Location: Warren, Michigan (Onsite)
Duration: 12+Months with possible extensions
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
Position Summary:
Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center.
Key Responsibilities:
- Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
- Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
- Organize, label, and validate data according to established annotation guidelines and quality standards.
- Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
- Execute data collection campaigns following documented protocols and experimental designs.
- Troubleshoot data collection issues and document problems for engineering teams.
- Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.
Required Qualifications:
- College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
- Ability to work on-site at Warren Technical Center, 5 days per week.
- Attention to detail and ability to follow technical procedures and documentation.
- Reliability, accountability, and ability to work independently and as part of a team.
- Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
- Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
- Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.
Preferred Qualifications:
- Experience with robotics, manufacturing, or data collection.
- Familiarity with Python, Linux, or data tools (beneficial but not required).
- Experience operating or troubleshooting technical equipment.
- Basic understanding of machine learning, AI, or data annotation concepts.
- Experience in automotive or manufacturing environments.
What is Offered:
• Hands-on experience with cutting-edge robotics and AI technology.
• Opportunity to contribute to transformative manufacturing automation.
• Collaborative team environment with world-class engineers and researchers.