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Contractual Remote Data Annotation Jobs in Houma, LA

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 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.

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 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 popular job titles related to Contractual Remote Data Annotation jobs in Houma, LA?

For Contractual Remote Data Annotation jobs in Houma, LA, the most frequently searched job titles are:

What job categories do people searching Contractual Remote Data Annotation jobs in Houma, LA look for?

The top searched job categories for Contractual Remote Data Annotation jobs in Houma, LA are:

What cities near Houma, LA are hiring for Contractual Remote Data Annotation jobs?

Cities near Houma, LA with the most Contractual Remote Data Annotation job openings:

Infographic showing various Contractual Remote Data Annotation job openings in Houma, LA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Manager Data Governance & Value Realization

Bollinger Shipyards

Raceland, LA • Remote

Full-time

Posted 11 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title: Senior Manager Data Governance & Value Realization


Location: Remote USA

Position Overview: The Senior Manager Data Governance & Value Realization is responsible for establishing enterprise-wide data governance, stewardship, quality, compliance, and value realization practices across Bollinger Shipyards. This role ensures enterprise data is trusted, secure, consistently defined, and aligned to measurable business outcomes.

The position partners across IT and business functions to implement practical governance processes that support operational efficiency, compliance obligations, analytics enablement, and enterprise decision-making.

Key Responsibilities:

  • ·         Develop and lead the enterprise data governance framework, operating model, and governance roadmap
  • ·         Establish policies, standards, and processes for data quality, stewardship, ownership, metadata, and lifecycle management
  • ·         Define and operationalize data ownership and stewardship responsibilities across business domains
  • ·         Lead enterprise data quality initiatives, including monitoring, remediation, and issue management processes
  • ·         Oversee implementation of data cataloging, metadata management, and business glossary capabilities
  • ·         Ensure compliance with regulatory, contractual, and cybersecurity requirements including ITAR, NIST, and applicable data protection standards
  • ·         Partner with Architecture, Engineering, Analytics, and AI teams to embed governance standards into enterprise solutions
  • ·         Establish governance metrics and reporting to monitor adoption, compliance, and business value
  • ·         Drive measurable value realization for data initiatives through adoption tracking, ROI analysis, and operational impact measurement
  • ·         Facilitate governance councils, stakeholder engagement, and cross-functional alignment
  • ·         Support change management and organizational adoption of governance practices
  • ·         Lead and develop governance and data stewardship resources as the function mature
  •  
  • Qualifications:

•           Bachelor’s degree in Information Management, Information Systems, Business, Engineering, or related field

•           8+ years of experience in data governance, data management, information management, or related disciplines

•           3+ years of leadership experience 

•           Proven experience implementing enterprise data governance programs at scale

•           Strong understanding of data quality, metadata management, master data, and stewardship practices

Skills and Abilities:

•           Experience in manufacturing, industrial, defense, or highly regulated environments

•           Experience with data catalog and governance platforms

•           Familiarity with Azure data and analytics ecosystems

•           Experience measuring ROI and operational impact of technology or data initiatives

•           Relevant governance or data management certifications

•           Master’s degree in Information Management, Business Administration, or related discipline

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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