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Freelance Ai Data Collection Jobs in Raleigh, NC

Senior AI FinOps Data Analyst

Raleigh, NC · On-site

$88.51 - $141.63/hr

Act as the core architect for cloud and data center data collection, building reliable ingestion ... Exposure to AI/GPU workload cost forecasting or high-growth technology spend environments

New

Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ... • Data Collection and Preparation: Establish protocols for collecting, cleaning, and ...

Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ... • Data Collection and Preparation: Establish protocols for collecting, cleaning, and ...

Data Analysis Tutor

Raleigh, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Data Analysis Tutor

Durham, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

... collection, discovery, access, evaluation, cleaning, preprocessing, transformation, modeling ... DSS collaborates with others in the Libraries and with NC State's Data Science and AI Academy (DSA ...

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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:

Senior AI FinOps Data Analyst

Segment (Twilio)

Raleigh, NC • On-site

$88.51 - $141.63/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Job summary

Red Hat is looking for a Senior FinOps Data Analyst to join us in Raleigh. The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance, and AI Engineering. This is not an administrative or passive reporting role; it requires an AI thought-first mindset and a deep curiosity for building internal tools that eliminate manual friction. Rather than relying on a single legacy platform, this analyst treats FinOps as a dynamic, multi-tool environment—leveraging raw operational datasets to power AI agents, predict cloud economics, and steer the enterprise's hybrid cloud strategy.

What you will do:
  • AI & GPU Infrastructure Modeling: Track, evaluate, and forecast cross-environment financial trends driven specifically by AI platform adoptions, machine learning workloads, and enterprise GPU utilization.
  • Dataverse Pipeline Integration: Act as the core architect for cloud and data center data collection, building reliable ingestion loops that funnel technical usage data directly into Dataverse.
  • Dynamic PO Lifecycle Management: Reform the purchase order framework from an annual forecast model to an active, twice-a-year allocation refresh cycle that keeps pace with AI investment spikes.
  • Cross-Functional Bridge Building: Partner directly with workstream service owners and IT engineering teams to translate raw system metrics into shared financial strategies, preventing data misinterpretation.
What you will bring:
  • Bachelor's degree in Information Technology, Data Analytics, Computer Science, or a related field; or equivalent combination of education and relevant professional experience
  • 2+ years of progressive experience in FinOps, cloud financial management, data analysis, IT finance, or a related technology operations role
  • Demonstrated ability to work with large operational datasets using SQL and at least one scripting language (Python preferred)
  • Working knowledge of public cloud billing, cost allocation, and optimization concepts across at least one major provider (AWS, GCP, or Azure)
  • Experience translating technical usage and spend data into clear reports, forecasts, or recommendations for engineering and leadership stakeholders
  • Strong written and verbal communication skills; ability to influence cross-functional partners without direct authority
Preferred Qualifications
  • Experience building automations, internal tools, or data pipelines — including use of AI-assisted development tools ("e.g., Cursor, LLM APIs")
  • Familiarity with enterprise data platforms (Snowflake, Dataverse, or similar warehouse/lake environments)
  • Experience modeling OpEx and CapEx together for hybrid cloud or infrastructure planning
  • Exposure to AI/GPU workload cost forecasting or high-growth technology spend environments
  • Experience partnering with shared services, procurement, or finance teams on invoice validation, chargeback, or PO lifecycle management
Pay Transparency

The salary range for this position is $88,510.00 - $141,630.00. Actual offer will be based on your qualifications.

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account - high deductible medical plan
  • Retirement 401(k) with employer match
  • Paid time off and holidays
  • Paid parental leave plans for all new parents
  • Leave benefits including disability, paid family medical leave, and paid military leave
  • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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