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Per Diem Ai Data Annotation Jobs in Michigan (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Dearborn, MI · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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All JobsPer Diem Ai Data Annotation JobsPer Diem Ai Data Annotation Jobs in Michigan

Per Diem Ai Data Annotation information

What is a per diem AI data annotation?

A Per Diem AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—on a flexible, as-needed basis to help train artificial intelligence and machine learning models. 'Per diem' means the position is paid by the day or for specific tasks, rather than being a full-time or salaried role. These jobs are vital for ensuring AI systems learn from accurate, well-labeled datasets. The work is often remote and may vary in workload based on project needs. Attention to detail and consistency are important qualities for success in this role.

What are the key skills and qualifications needed to thrive as a per diem AI data annotation specialist?

To thrive as a Per Diem AI Data Annotation Specialist, you need strong attention to detail, good analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher education in a related field. Familiarity with annotation platforms, data management systems, and sometimes basic programming or scripting tools is beneficial. Reliability, time management, and clear communication are key soft skills for meeting project deadlines and collaborating with remote teams. These skills ensure the accuracy and consistency of labeled data, which is critical for training high-performing AI models.

What are some common challenges faced by per diem AI data annotation professionals, and how can they be addressed?

Per Diem AI Data Annotation professionals often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and adapting to evolving project guidelines. It is important to carefully review annotation instructions and ask clarifying questions when uncertainties arise. Staying organized and regularly communicating with team leads or project managers can help address ambiguities and ensure high-quality, accurate annotations. Additionally, leveraging available training resources and collaborating with peers can aid in staying up-to-date with best practices.

What is the difference between Per Diem Ai Data Annotation vs Data Labeler?

AspectPer Diem Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often on a per-project basisLabeling data to improve AI models, often on a per-task basis

Both roles involve data annotation and are used in AI and machine learning industries. Per Diem Ai Data Annotation typically refers to short-term, project-based work with flexible schedules, while Data Labelers may work on similar tasks but often with a broader scope or different employment arrangements. Both require attention to detail and basic technical skills, making them closely related roles in the data annotation field.

What are the most commonly searched types of Ai Data Annotation jobs in Michigan?

The most popular types of Ai Data Annotation jobs in Michigan are:

What are popular job titles related to Per Diem Ai Data Annotation jobs in Michigan?

For Per Diem Ai Data Annotation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Per Diem Ai Data Annotation jobs in Michigan look for?

The top searched job categories for Per Diem Ai Data Annotation jobs in Michigan are:

What cities in Michigan are hiring for Per Diem Ai Data Annotation jobs?

Cities in Michigan with the most Per Diem Ai Data Annotation job openings:

Per Diem Ai Data Annotation jobs near you

Senior Robotics Data Collection Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 15 days ago

Job description

Role: Senior Robotics Data Collection Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)
 
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).
· Attention to detail and ability to follow technical procedures and documentation.
· 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.