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Data Annotation Engineer Jobs in Orlando, FL (NOW HIRING)

1 point system

2D/3D Engineer

Orlando, FL · On-site

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related ... Experience with 2D/3D data analysis, including point cloud processing and image annotation.

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Orlando, FL

Data Annotation Engineer information

See Orlando, FL salary details

$44.8K

$128.3K

$171.4K

How much do data annotation engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data annotation engineer in Orlando, FL is $128,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $170,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Orlando, FL? For Data Annotation Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Orlando, FL look for? The top searched job categories for Data Annotation Engineer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Data Annotation Engineer jobs? Cities near Orlando, FL with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $128,335 per year, or $61.7 per hour.

Data Engineer

Innovative Information Technologies, Inc

Orlando, FL • On-site

$106K - $128K/yr

Other

Re-posted 2 days ago

Job description

ONLY W2, NO C2C
Data Engineer
Orlando, FL (Onsite)
Duration: 3-6 Months+ Contract
Inperson Interview Required

MUST HAVE Strong experience in BELOW Mandatory skills:
Python, SQL

Nice to have:
Dataiku, Tableau, MLOps (Machine Learning Operations)

Job Knowledge:
Demonstrate expert data engineering skills supporting workflow automation using tools such as Apache Airflow, Databricks, or Azure Data Factory or ML platforms such as Dataiku or DataRobot.
Ability to research, analyze and resolve operational issues such as run-time failures, long-running job execution and/or platform errors in a timely manner.
Provide Root Cause Analysis (RCA) to identify and proactively prevent future issues.
Expert experience working with large volumes of data to include integration and cleansing.
Knowledge of production support concepts such incident reporting, testing, debugging, monitoring, and audits.
Skill in creating and maintaining technical documentation to include run book creation for routine or repeatable operations, code annotation, and other asset documentation.
Strong knowledge of SQL, and Python (3+ years). Snowflake SQL experience preferred.
Familiarity leveraging ML algorithms such as Decision Trees, Logistic Regression, Random Forest and XGBoost using an ML platform and/or an IDE such as Spyder or PyCharm.
Working knowledge of Tableau Desktop/Server.

Relevant Skills:
SQL, Python, Dataiku, Tableau
Ability to develop effective working relationships
Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation
Ability to work independently or as part of a team to resolve issues
Effective written and verbal communication skills
Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations.

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