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Remote Ai Data Collection Jobs (NOW HIRING)

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

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

As of Aug 8, 2026, the average hourly pay for remote ai data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.
More about Remote Ai Data Collection jobs
What cities are hiring for Remote Ai Data Collection jobs? Cities with the most Remote Ai Data Collection job openings:
What are the most commonly searched types of Ai Data Collection jobs? The most popular types of Ai Data Collection jobs are:
What states have the most Remote Ai Data Collection jobs? States with the most job openings for Remote Ai Data Collection jobs include:
What job categories do people searching Remote Ai Data Collection jobs look for? The top searched job categories for Remote Ai Data Collection jobs are:
Remote Ai Data Collection jobs near you
Infographic showing various Remote Ai Data Collection job openings in the United States as of August 2026, with employment types broken down into 46% Full Time, 31% Part Time, 4% Temporary, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

AI Data Architect /REMOTE

Instant Serve LLC

Denver, CO • Remote

$75 - $80/hr

Contractor

Re-posted 17 days ago

Job description

Remote AI Data Architect – Public Sector
Location: Preferably Colorado
Duration: 6 months 

We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector. This role requires deep expertise in AI technologies, data architecture, and risk management. The ideal candidate will collaborate with stakeholders to identify, assess, and implement AI-powered solutions while ensuring security, ethical standards, and regulatory compliance.

Key Responsibilities

  • Use Case Assessment: Evaluate potential AI projects for feasibility, impact, and risk.

  • Solution Architecture: Design and review AI solutions, ensuring scalable, secure, and high-quality data architectures for AI/ML workloads.

  • Risk Management: Identify and mitigate risks, including data privacy issues, algorithmic bias, and misuse of AI.

  • Collaboration: Partner with cross-functional teams to provide technical and ethical guidance and help operationalize AI processes.

  • Technology Evaluation: Monitor emerging AI tools and trends; recommend solutions suited to specific use cases.

  • Documentation: Prepare technical reports on project reviews, trends, and future AI opportunities.

Required Skills & Experience

  • Strong communication skills with the ability to convey complex technical concepts to diverse audiences.

  • Expertise in AI/ML tools and models (e.g., Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio), cloud computing (AWS, GCP), and big data technologies (Snowflake, Redshift, BigQuery).

  • Solid background in AI data architecture, data management, and responsible AI practices.

  • Advanced analytical and problem-solving skills.

Preferred Skills & Experience

  • NIST AI Framework training or certification.

  • Residency in Colorado is preferred.

Join us to shape the future of AI within public sector initiatives, driving innovation while maintaining the highest standards of security, ethics, and compliance.


InstantServe is Proud to be an EOE and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law.   Applicants with disabilities that require accommodation or assistance in a position please call 202-701-1667 or email  contact@iserveworld.com. This is a dedicated line designed exclusively to assist job seekers whose disability prevents them from being able to apply online. 

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About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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