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Contractual Remote Data Annotation Jobs in Arizona

Milliman

Strategic Data Partnership Manager

Phoenix, AZ · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... contractual obligations, and executive-level engagement. * Ability to translate ambiguous business ...

World View

Contracts Manager

Tucson, AZ · On-site +1

$120K - $130K/yr

$120,000 - $130,000 a year Contracts Manager Tucson, AZ Remote-based position; candidates must be ... We provide on-demand, scheduled, and historical aerial data and analytics from sensors deployed to ...

World View

Contracts Manager

Tucson, AZ · On-site +1

$120K - $130K/yr

$120,000 - $130,000 a year Contracts Manager Tucson, AZ Remote-based position; candidates must be ... We provide on-demand, scheduled, and historical aerial data and analytics from sensors deployed to ...

Arizona Department of Administration

$71K/yr

REMOTE OPTIONS, PHOENIX Categories: Healthcare/Medical Professional Level, Healthcare/Medical ... Completes an independent review of data management and other deliverables, technical assistance ...

Arizona Department of Administration

$71K/yr

REMOTE OPTIONS, PHOENIX, TUCSON Categories: Healthcare/Medical Professional Level, Healthcare ... Completes an independent review of data management and other deliverables, technical assistance ...

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All JobsContractual Remote Data Annotation JobsContractual Remote Data Annotation Jobs in Arizona

Contractual Remote Data Annotation information

What is contractual remote data annotation?

Contractual remote data annotation involves labeling or tagging data—such as images, text, or audio—while working from a remote location, usually as a contractor rather than a full-time employee. Data annotation is a crucial step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms learn to recognize patterns and make predictions. Contractors are typically assigned specific tasks or projects and are paid based on the volume or quality of their completed annotations. This type of work requires attention to detail, reliability, and sometimes domain-specific knowledge, depending on the project.

What is the difference between Contractual Remote Data Annotation vs Data Labeler?

AspectContractual Remote Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job ScopeAnnotating data for training AI modelsLabeling data to train AI systems

Contractual Remote Data Annotation involves completing data annotation tasks on a contractual basis, often with flexible hours and remote work. Data Labelers perform similar tasks but may work on a freelance or part-time basis, sometimes in different environments. Both roles support AI development, but Contractual Remote Data Annotation typically emphasizes contractual agreements and remote flexibility.

What are the key skills and qualifications needed to thrive as a Contractual Remote Data Annotation Specialist, and why are they important?

To thrive as a Contractual Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a basic understanding of machine learning or AI workflows. Proficiency with annotation platforms like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as experience with common data types such as images, text, or audio, is typically required. Reliability, time management, and clear communication are essential soft skills for meeting deadlines and maintaining quality in remote, independent work. These skills and qualifications ensure accuracy and efficiency, which are critical for producing high-quality datasets that power AI and machine learning models.

What are some common challenges faced by contractual remote data annotators, and how can they be addressed?

Contractual remote data annotators often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing communication with distributed teams. To address these, it's important to establish a structured workflow, take regular breaks to prevent fatigue, and use quality control tools provided by employers. Staying proactive in seeking clarification on annotation guidelines and participating in team discussions can also help ensure consistent results and foster a supportive remote work environment.
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Contractual Remote Data Annotation jobs near you

Egocentric Data Collection

Objectways Technologies Llc

Phoenix, AZ • Remote

$20/hr

Full-time

Posted 27 days ago

Job description

Position Summary:
We are seeking reliable individuals to participate in a paid video data collection project. Contributors will wear a comfortable head strap, attach their smartphone, or Smart Glasses(Provided by us) and record first-person (egocentric) video of normal daily activities. This data will be used to help improve next-generation AI, robotics, and computer vision systems.
What You Will Do:
Wear a head-mounted strap and securely attach your smartphone or Smart Glasses( Provided by Us)
Record 4 hours of usable first-person video per session.
Perform simple daily tasks such as walking, organizing items, cooking, shopping, working at a desk, or other routine activities.
Follow the provided capture guidelines to ensure quality.
Upload the recorded videos after each session.
Work from home:
We do not need you to work from the address we posted. You can work from home. You can collect the Smart Glasses or Mobile Phone Mounting Strap from our office in Phoenix.
Requirements:
Must be comfortable wearing a head-mounted smartphone or Smart glass for extended periods.
Ability to complete 68 hours of total effort to capture 4 hours of quality video.
Access to a modern smartphone with good camera quality or you can use our Smart Glasses
Must follow instructions carefully.
Reliable, self-motivated, and able to complete tasks independently.
Compensation:
You are expected to deliver us 4 hours of Usable videos. The task will take about 6 to 8 hours to collect 4 hours of Usable Videos. You will be paid $160 for 8 hours.
Bonus incentives are available for completing multiple sessions.
All equipment (head strap or Smart Glass) will be provided.
Sample Tasks:
Here are some of the tasks that we want to capture
https://objectways.com/dataset-explorer/
About Us:
Objectways is a global leader in AI data collection and annotation, supporting major technology companies in building high-quality training datasets for cutting-edge machine learning applications.

This is a remote position.