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Contract Data Labeler Jobs in Florida (NOW HIRING)

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

In this position, you'll be responsible for annotating and labeling imagery from radar, camera, and ... Ability to work on US Government Contracts (typically limited to US Citizens) * Required in-office ...

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

In this position, you'll be responsible for annotating and labeling imagery from radar, camera, and ... Ability to work on US Government Contracts (typically limited to US Citizens) * Required in-office ...

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... related to government contract administration. The ideal candidate will assist with order ... Prepare shipping documents, labels, and packing lists. * Enter and maintain accurate customer ...

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... related to government contract administration. The ideal candidate will assist with order ... Prepare shipping documents, labels, and packing lists. * Enter and maintain accurate customer ...

Complete computer data entry related to production, testing, labeling, and inventory activities ... Job Type & Location This is a Contract to Hire position based out of Fort Walton Beach, FL. Pay and ...

Warehouse Clerk

Orlando, FL

$15 - $18/hr

Accurately enter data into inventory and asset management systems * Label, sort, and stage ... Stable, full-time contract opportunity with consistent hours * Hands-on role in a growing ...

Contract / On-Site Compensation: $28 per hour Responsibilities • Support continuous improvement ... data entry and record-keeping. • Manage packaging tasks, selecting appropriate materials and ...

Contract / On-Site Compensation: $28 per hour Responsibilities • Support continuous improvement ... data entry and record-keeping. • Manage packaging tasks, selecting appropriate materials and ...

Contract / On-Site Compensation: $28 per hour Responsibilities • Support continuous improvement ... data entry and record-keeping. • Manage packaging tasks, selecting appropriate materials and ...

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Contract Data Labeler information

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

AspectContract Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site; tech companies, AI firmsRemote or on-site; AI and machine learning projects
Industry UsageUsed in AI training, machine learning datasetsUsed in AI, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve AI algorithms

The Contract Data Labeler and Data Annotator roles are similar, both involve labeling data for AI training. The main difference lies in terminology and specific project focus, but they often share similar credentials, work environments, and industry applications.

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

To thrive as a Contract Data Labeler, you need strong attention to detail, accuracy, and basic data management skills, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheet software, and sometimes project management platforms is typically required. Excellent focus, time management, and the ability to follow detailed instructions are crucial soft skills in this role. These skills ensure labeled data is reliable and consistent, which is vital for training high-quality AI and machine learning models.

What are some common challenges faced by Contract Data Labelers, and how can they be addressed?

Contract Data Labelers often work with large volumes of diverse data, which can lead to repetitive tasks and fatigue. Ensuring accuracy and consistency in labeling is crucial, as errors can significantly impact machine learning outcomes. To address these challenges, it's important to take regular breaks, follow detailed guidelines, and communicate with team members or project leads when ambiguities arise. Many teams use quality assurance checks and feedback sessions to help labelers maintain high standards and continuously improve their work.

What are contract data labelers?

Contract data labelers are professionals hired on a temporary or project basis to annotate and categorize data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Their main responsibility is to accurately tag or label data according to specific guidelines so that algorithms can learn to recognize patterns. As contractors, they typically work remotely and are paid per task, hour, or project. This role is essential for companies developing AI models that require large sets of accurately labeled data.
What are the most commonly searched types of Data Labeler jobs in Florida? The most popular types of Data Labeler jobs in Florida are:
What are popular job titles related to Contract Data Labeler jobs in Florida? For Contract Data Labeler jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Data Labeler jobs in Florida look for? The top searched job categories for Contract Data Labeler jobs in Florida are:
What cities in Florida are hiring for Contract Data Labeler jobs? Cities in Florida with the most Contract Data Labeler job openings:
Infographic showing various Contract Data Labeler job openings in Florida as of July 2026, with employment types broken down into 31% Full Time, 20% Part Time, and 49% Contract. Highlights an 100% In-person job distribution.

$110K - $120K/yr

Other

Posted 12 days ago


Job description

Job Description Data Security Engineer Location: Hybrid (Onsite/Remote) Type: Contract to hire Pay: $110,000-$120,000/yr W2 W2 ONLY, NO C2C Position Overview We are seeking an experienced Enterprise Data & Platform Security Engineer to lead the design, implementation, and continuous improvement of enterprise data protection and platform security capabilities. This is an engineering-focused role responsible for strengthening data security, improving governance, reducing organizational risk, and building scalable security solutions across cloud, infrastructure, identity, and enterprise platforms. The ideal candidate has a proactive engineering mindset and thrives on building security programs, automating processes, improving security posture, and driving long-term security strategy.

This is not a monitoring or SOC analyst role. Key Responsibilities Design and implement enterprise-scale data protection strategies across on-premises, cloud, SaaS, and hybrid environments. Develop security architectures supporting data classification, encryption, data loss prevention (DLP), tokenization, retention, and information protection.

Lead implementation and optimization of Microsoft Purview capabilities, including data discovery, classification, labeling, governance, and DLP. Improve enterprise visibility into sensitive data and develop remediation strategies to reduce organizational risk. Design secure architecture patterns for: Cloud platforms Kubernetes and containerized environments APIs Identity platforms Infrastructure-as-Code (IaC) CI/CD pipelines Lead complex investigations involving data exposure, insider risk, and security control failures while driving long-term remediation efforts.

Perform security assessments, threat analysis, architecture reviews, and vulnerability investigations across enterprise platforms. Develop security standards, governance frameworks, technical baselines, and operational playbooks. Create dashboards, metrics, and reporting to measure security posture, policy effectiveness, and risk reduction.

Partner with engineering, infrastructure, identity, application, privacy, and business teams to improve enterprise security maturity. Mentor junior security engineers and provide technical leadership across multiple initiatives. Drive automation, continuous improvement, and modernization of enterprise security capabilities.

Required Qualifications 7+ years of Information Security, Security Engineering, Cloud Security, or Platform Security experience. Strong experience designing and implementing enterprise data protection strategies. Hands-on experience with Microsoft Purview, including: Data Discovery Data Classification Data Labeling Data Loss Prevention (DLP) Information Protection Data Governance Experience securing cloud, hybrid, and enterprise infrastructure environments.

Strong understanding of: Identity and Access Management (IAM) Least Privilege Zero Trust principles Encryption Data Governance Experience securing Kubernetes, containers, APIs, cloud services, and CI/CD pipelines. Experience with SIEM, endpoint security, DLP, and enterprise security monitoring platforms. Strong understanding of security architecture, cloud security, networking, operating systems, and common enterprise threat vectors.

Experience investigating security incidents involving sensitive data and coordinating remediation efforts. Strong analytical, troubleshooting, documentation, and communication skills. Ability to prioritize multiple initiatives while working independently in a fast-paced environment.