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Data Annotation Tech Remote Jobs in Tampa, FL (NOW HIRING)

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

... in the tech landscape.. Our team values include extreme ownership, one team and creating reaving ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

USAA

Data Scientist (Mid-level) - Risk Modeling

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Selects the appropriate modeling technique and/or technology with consideration to data limitations ...

USAA

Data Scientist (Mid-level) - Risk Modeling

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Selects the appropriate modeling technique and/or technology with consideration to data limitations ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245461 Location: Tampa,FL,US Share job via: Share Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

NxT Level

CTO

Tampa, FL · Remote

Tampa, FL (Preferred) / Remote Our client is a Seed-Found startup in Tampa, Florida. This is an ... Contribute to our data strategy through strategic partnerships and innovative solutions. * Maintain ...

Imagenet

Claims Examiner - Remote

Tampa, FL · Remote

... data elements within these claims annually. The company has also developed an innovative workflow technology platform, JetStreamTM, to help with traceability, governance and automation of claims ...

Imagenet

Claims Examiner - Remote

Tampa, FL · On-site +1

... data elements within these claims annually. The company has also developed an innovative workflow technology platform, JetStreamTM, to help with traceability, governance and automation of claims ...

JLL

Data Collection Specialist II

Tampa, FL · Remote

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Imagenet

Claims Examiner - Remote (Alameda)

Tampa, FL · Remote

... data elements within these claims annually. The company has also developed an innovative workflow technology platform, JetStreamTM, to help with traceability, governance and automation of claims ...

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

... marketing technology ecosystems. * Experience supporting global marketing organizations ... This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026.

Humana

Lead Data Scientist

Tampa, FL · On-site +1

... technologies for improving care quality and experience of millions of consumers. We are actively ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Tampa, FL · On-site +1

... technologies for improving care quality and experience of millions of consumers. We are actively ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Tampa, FL · On-site +1

... technologies for improving care quality and experience of millions of consumers. We are actively ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

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Data Annotation Tech Remote information

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How much do data annotation tech remote jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data annotation tech remote in Tampa, FL is $21.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $25.67 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

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

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Tampa, FL? The most popular types of Data Annotation Tech jobs in Tampa, FL are:
What are popular job titles related to Data Annotation Tech Remote jobs in Tampa, FL? For Data Annotation Tech Remote jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Tampa, FL look for? The top searched job categories for Data Annotation Tech Remote jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Data Annotation Tech Remote jobs? Cities near Tampa, FL with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $44,900 per year, or $21.6 per hour.

Data Platform Engineer

Worth AI

Tampa, FL • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you’ll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources