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Freelance Ai Data Collection Jobs in Raleigh, NC

Wasatch Photonics

Embedded Data Scientist

Morrisville, NC · On-site

$90 - $120/hr

Wasatch Photonics is seeking an Embedded Data Scientist to help develop and package AI models for ... Additional Responsibilities * Assist with collection of instrument data, both for purposes of ML ...

Jobs for Humanity

Speakers/Writers

Cary, NC

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams ... Important Information: - This is a freelance position compensated on an hourly basis. Please note ...

Studycast

Automation Engineer

Raleigh, NC · On-site

Join us in transforming how healthcare professionals manage and share imaging data through ... Automated collection and categorization of customer feedback across support channels. Internal Tool ...

Alimentiv

Clinical Project Manager (US)

Raleigh, NC · Remote

$95K - $159K/yr

... revision, data collection, patient safety/adverse event management, document management ... Occasional travel $95,500 - $159,000 a year We may use artificial intelligence (AI) tools to ...

Varsity Tutors

AP Research Tutor

Durham, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... design, data collection and analysis, academic writing conventions, and oral presentation ...

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Freelance Ai Data Collection information

See Raleigh, NC salary details

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How much do freelance ai data collection jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance ai data collection in Raleigh, NC is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $23.37 per hour, depending on experience, location, and employer.

What is freelance AI data collection?

Freelance AI data collection involves gathering and labeling data—such as images, text, audio, or video—that is used to train artificial intelligence and machine learning models. Freelancers in this field are typically hired by companies or research organizations to collect, organize, and sometimes annotate large datasets according to specific guidelines. The work can range from recording voice samples to tagging objects in photographs, ensuring that the data is accurate and diverse. This role is essential for improving the performance and reliability of AI systems across various applications.

What skills and qualifications are needed to thrive as a freelance AI data collection specialist?

To excel as a Freelance AI Data Collection Specialist, you need strong analytical skills, attention to detail, and familiarity with data entry or annotation tasks, often supported by a background in computer science or related fields. Proficiency with data labeling tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker Ground Truth is typically required. Excellent communication, reliability, and the ability to follow nuanced guidelines help freelancers stand out in this role. These skills ensure the delivery of high-quality, accurate datasets that are essential for effective AI model training.

What are common challenges faced by freelance AI data collectors, and how can they be addressed?

Freelance AI data collectors often encounter challenges such as meeting strict quality standards, managing inconsistent workloads, and ensuring data privacy. To address these, it's important to closely follow project guidelines, communicate proactively with project managers, and stay organized with time management tools. Additionally, familiarizing yourself with data protection best practices and seeking feedback can help improve your performance and reliability on future projects.

What is the difference between Freelance Ai Data Collection vs Freelance Data Annotation?

AspectFreelance Ai Data CollectionFreelance Data Annotation
CredentialsBasic data handling skills, familiarity with data sourcesAttention to detail, understanding of annotation tools
Work EnvironmentRemote, independent data gatheringRemote, using annotation platforms
Industry UsageCollecting raw data for AI modelsLabeling and annotating data for training AI

Freelance Ai Data Collection involves gathering raw data from various sources, while Freelance Data Annotation focuses on labeling data to train AI models. Both roles are remote and require attention to detail, but they serve different stages in AI development.

What are the most commonly searched types of Ai Data Collection jobs in Raleigh, NC?

The most popular types of Ai Data Collection jobs in Raleigh, NC are:

What are popular job titles related to Freelance Ai Data Collection jobs in Raleigh, NC?

For Freelance Ai Data Collection jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Freelance Ai Data Collection jobs in Raleigh, NC look for?

The top searched job categories for Freelance Ai Data Collection jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Freelance Ai Data Collection jobs?

Cities near Raleigh, NC with the most Freelance Ai Data Collection job openings:

Freelance Ai Data Collection jobs near you

Automations Engineer

SINNOVATEK SERVICES LLC

Middlesex, NC • On-site

$95 - $125/hr

Other

Re-posted 21 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Automations Engineer

Full Time Professional Middlesex, NC, US

3 days ago Requisition ID: 1144

Salary Range: $95,000.00 To $125,000.00 Annually

Duties and Responsibilities:
  • Assist in the design, modeling, and prototyping of process and packaging systems.
  • Support testing, assembly, and commissioning of prototypes under supervision.
  • Read and interpret mechanical drawings, electrical schematics, and process flow diagrams.
  • Specify, install, and troubleshoot sensors, actuators, and instrumentation for food manufacturing systems.
  • Participate in wiring, panel layout, and field testing activities.
  • Support integration, programming, and troubleshooting of PLC/HMI and SCADA systems.
  • Contribute to coding and testing of automation or AI-driven routines (predictive maintenance, data monitoring, optimization).
  • Assist with sensor data collection, labeling, and preprocessing for machine learning models.
  • Work on projects using Python, C++, or similar to interface with hardware systems.
  • Maintain accurate documentation including test reports, wiring diagrams, and engineering logs.
  • Ensure safe and organized work areas in labs and on production floors.
  • Participate in system commissioning and troubleshooting at customer sites when required.
  • Uphold SQF requirements including promotion of a strong & positive food safety culture
  • Active involvement in implementation, upkeep and continuous improvement of food safety as part of an interdisciplinary team
  • Stewardship for our B-corp mission to promote worldwide health and wellness by fostering the delivery of high quality, healthy foods through sustainable methods.
What You’ll Learn:
  • How to develop and test automated food manufacturing equipment
  • Machine learning integration in industrial environments
  • Industry codes, standards, and best practices (UL, CE, ISA, etc.)
  • Real-world project execution from concept to commissioning
  • Microwave and other electrical thermal processing technologies
Required:
  • Bachelor’s degree in Mechanical, Electrical, Automation, Mechatronics, Robotics, Computer Science, or a related engineering field (or graduation within 6 months).
  • Introductory experience or coursework in:
    • CAD (SolidWorks or AutoCAD)
    • Instrumentation and control systems
  • Controls integration with field devices (sensors, VFDs, flow meters, actuators).
  • Strong understanding of industrial communication protocols (EtherNet/IP, Modbus TCP, OPC UA).
  • Ability to troubleshoot electrical/automation systems in a production environment.
  • Hands-on mindset; comfortable using tools and learning in the field.
  • Strong communication, collaboration, and organizational skills.
  • Curiosity and eagerness to learn from a multidisciplinary team.
  • Active passport or ability to obtain one within the first 6 months.
Preferred (but not required):
  • Minimum of 2 years’ experience in automation, instrumentation, or controls engineering.
  • Familiarity with SCADA/HMI systems (Ignition, Wonderware, or WinCC).
  • Experience with data collection and integration from PLC/SCADA systems into historians, MES, or
  • Working knowledge of machine learning concepts and data analytics (TensorFlow, PyTorch, scikit-
  • learn, SQL).
  • Practical applications of ML in industrial settings (predictive maintenance, anomaly detection, process optimization).
  • Experience developing middleware or APIs to connect automation platforms with data pipelines.
  • Prior internships, capstone projects, or personal projects involving automation, robotics, or controls.
  • Basic electronics experience (soldering, sensor setup, instrumentation wiring).
  • Knowledge of OSHA safety standards and industrial safety practices.
  • Experience in food & beverage or other regulated manufacturing environments is a plus.
Physical Requirements:
  • Ability to work on the floor in a manufacturing setting; frequent walking and standing required.
  • Ability to work in hot, cold, or wet environments.
  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.
  • Flexibility to alternate between hands‑on manufacturing work and office‑based programming/data analysis.
  • Comfortable working in environments with shifting priorities and ambiguity.
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