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Per Diem Remote Data Annotation Jobs in Hialeah, FL

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Per Diem Remote Data Annotation information

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$34K

$111.2K

$178K

How much do per diem remote data annotation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for per diem remote data annotation in Hialeah, FL is $111,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $123,200.00 per year, depending on experience, location, and employer.

What is a per diem remote data annotation?

Per Diem Remote Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, or audio on a flexible, as-needed (per diem) basis from a remote location. Workers in these roles help train machine learning models by providing accurate and consistent annotations. This type of job is ideal for individuals seeking flexible schedules, as work assignments are typically offered based on demand and availability. Per diem annotators are often paid per task or per hour, and the work can be done from home with a computer and internet connection.

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

To thrive as a Per Diem Remote Data Annotation Specialist, you need strong attention to detail, proficiency in data analysis, and often a background in relevant fields such as computer science, linguistics, or related areas. Familiarity with data labeling platforms, annotation software, and sometimes specific machine learning tools or guidelines is typically required. Excellent time management, clear communication, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate data labeling, which is crucial for training high-quality AI models and maintaining project efficiency.

What are the typical challenges faced by per diem remote data annotation professionals, and how can they be addressed?

Per Diem Remote Data Annotation professionals often encounter challenges such as maintaining consistent annotation quality, managing fluctuating workloads, and staying up-to-date with changing annotation guidelines. Since the role is remote and per diem, clear communication with project managers and proactive time management are essential. Utilizing provided training materials, participating in quality assurance feedback sessions, and connecting with other annotators through team channels can help overcome these challenges and ensure high-quality, accurate work.

What is the difference between Per Diem Remote Data Annotation vs Per Diem Remote Data Labeling?

AspectPer Diem Remote Data AnnotationPer Diem Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageTech, AI, machine learningTech, AI, machine learning
Job FocusAdding annotations to data (e.g., bounding boxes, segmentation)Assigning labels to data (e.g., categories, tags)

Both roles involve working remotely with similar credentials, but data annotation focuses on adding detailed markings to data, while data labeling involves categorizing data. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

What are the most commonly searched types of Remote Data Annotation jobs in Hialeah, FL?

The most popular types of Remote Data Annotation jobs in Hialeah, FL are:

What cities near Hialeah, FL are hiring for Per Diem Remote Data Annotation jobs?

Cities near Hialeah, FL with the most Per Diem Remote Data Annotation job openings:

Infographic showing various Per Diem Remote Data Annotation job openings in Hialeah, FL as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $111,159 per year, or $53.4 per hour.

Full-time

Medical, Dental, PTO

Re-posted 9 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. This position is contingent upon contract award and available funding.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer