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Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

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

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
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Contract Data Annotation jobs near you
Image Annotation Support - Drone Operations

Image Annotation Support - Drone Operations

Mavensoft Technologies, LLC

Nashville, TN • On-site

$40K - $46K/yr

Other

Posted 16 days ago

Job description

Role: Image Annotation Support - Drone Operations
Duration: 5 Months (Contract)
Location: Nashville, TN (On-Site)
Key Skills: Image Annotation; Image Labeling; Visual Observation (Drone Visual Observer), Airport Pavement Inspection
Seeking a contract worker to support airport pavement data, drone operations, and general office tasks.
The main duty of this position will be tracing pavement cracks from airfield pavement images. This work will help the Division develop a machine-learning tool to better identify pavement cracks and support future pavement maintenance decisions.
Primary Duties

  • Review pavement images and trace visible cracks.
  • Label crack data using Division guidance.
  • Help organize completed image files and tracking logs.
  • Identify unclear images or issues for staff review.
  • Support quality control of crack-tracing work.

Secondary Duties

  • Serve as a visual observer during drone flights.
  • Watch the drone, surrounding airspace, people, vehicles, and airport activity.
  • Communicate with the drone pilot and field staff during flights.
  • Help with basic field notes, photos, and data organization.
  • File, scan, rename, and organize project documents.
  • Assist with spreadsheet updates and data entry.
  • Perform other related support tasks as assigned.

Minimum Qualifications

  • High school diploma or equivalent.
  • Basic computer skills.
  • Strong attention to detail.
  • Ability to follow instructions.
  • Ability to work independently after training.
  • Ability to work in an office setting and occasionally in the field.
  • Valid driver’s license preferred.

Preferred Skills

  • Experience with Excel, SharePoint, OneDrive, Teams, or similar tools.
  • Interest or experience in drones, aviation, pavement, GIS, CAD, construction, or data entry.
  • Ability to stay organized and complete repetitive tasks accurately.

Work Environment
Most work will be computer-based. Some work may occur at airports and may include walking, standing, heat, sun, wind, aircraft activity, and active pavement areas.
Purpose
This position supports airport pavement program by helping create accurate data for a machine-learning tool that can improve pavement inspections, maintenance planning, and long-term asset management.
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About Mavensoft Technologies

Sourced by ZipRecruiter

Mavensoft’s culture embodies a people-first value system. We genuinely care and empower all team members to consistently demonstrate their energy and passion towards helping our customers reach their goals. As a solution-oriented company, we always strive to deliver our very best to both customers and team members. We make it our daily business to arrive ready to execute and resolve all of your tasks and requests. With such an emboldening, team-centric approach, you'll continue to realize increased employee productivity, delightful customer engagement, improved operational efficiency, and rapid business growth. Our senior management team is built around industry enthusiasts, technocrats, and creative problem solvers. Actively involved in the tech community, we help foster creativity and adopt new technologies for changing the business landscape.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Beaverton, OR, US

Year founded

2004

Social media

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