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Data Annotation Jobs in Hawaii (NOW HIRING)

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$9

$26

$57

How much do data annotation jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data annotation in Hawaii is $26.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.07 and $31.82 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in Hawaii? The most popular types of Data Annotation jobs in Hawaii are:
What are popular job titles related to Data Annotation jobs in Hawaii? For Data Annotation jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Hawaii look for? The top searched job categories for Data Annotation jobs in Hawaii are:
What cities in Hawaii are hiring for Data Annotation jobs? Cities in Hawaii with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Hawaii as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $55,586 per year, or $26.7 per hour.
Acoustician Cetacean Data Analysis & Processing Support

Acoustician Cetacean Data Analysis & Processing Support

Lynker Corporation

Honolulu, HI

$75K - $115K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Lynker Corporation is seeking to hire three (3) Acousticians to support a contract with NOAA’s National Marine Fisheries Service (NMFS), Pacific Islands Fisheries Science Center (PIFSC), Protected Species Division (PSD). These are full-time positions that may be performed on-site or remotely, with anticipated travel in support of meetings, workshops, and field activities. The positions are anticipated to begin on September 30, 2026. Hiring for these positions will be contingent on contract award. Lynker will be operating under its FLOAT joint venture, a NOAA ProTech Fisheries 2.0 prime contract holder.PIFSC PSD uses passive acoustic monitoring data to support cetacean population assessments and analysis of ocean soundscapes across the Pacific Islands Region. The tasks for these positions will support larger analysis efforts at PIFSC. Work will include analysis of datasets collected from stationary, drifting, moored, towed, and autonomous platforms to evaluate cetacean vocalizations, behavior, occurrence, and relationships to habitat and environmental conditions.

This Contract is Contingent on Contract Award. 


TasksThe selected candidate will provide passive acoustic data analysis, processing, and data management support, including the following:
  • Conduct analyses of passive acoustic datasets to support detection, classification, and localization of cetaceans
  • Characterize cetacean vocalizations and evaluate behavior, occurrence, abundance, seasonality, and habitat relationships
  • Develop and validate automated detection and classification approaches, including call-level annotation and manual validation
  • Analyze datasets collected from multiple platforms, including:
    • Long-term stationary recorders
    • Towed hydrophone arrays
    • Drifting acoustic recorders
    • Autonomous systems (e.g., Seagliders)
  • Apply statistical and quantitative approaches to support stock assessments and ecological analyses
  • Support Seaglider and advanced acoustic analyses, including:
    • Classification of cetacean sounds to species where possible
    • Validation of automated classifiers through manual review
    • Application of sound propagation models using Python and cloud-based tools
  • Process acoustic datasets for analysis, including:
    • Conversion of raw data formats into usable files (e.g., WAV)
    • Debugging problematic data files
    • Performing quality assurance and quality control checks
  • Archive and manage datasets, including:
    • Storage on program and cloud servers
    • Preparation for submission to NCEI
    • Maintenance of dataset logs and issue tracking
  • Maintain and update acoustic metadata databases (e.g., TETHYS, Makara, NCEI), including uploading and quality-checking detection and classification data
  • Conduct quantitative soundscape analyses, including computation of ambient noise metrics and evaluation of trends across multiple temporal scales
  • Maintain logs of datasets analyzed, analytical methods, outputs, and issues encountered
  • Maintain analysis code and workflows in repositories such as NMFS GitHub Enterprise
  • Assist with preparation of technical reports, manuscripts, presentations, and data visualizations
  • Participate in meetings, workshops, and conferences to present progress and support collaboration
DeliverablesDeliverables shall include, but are not limited to:
  • Monthly progress reports summarizing accomplishments, issues encountered, travel and outcomes, and recommendations
  • Maintenance of logs documenting analyzed datasets, analysis methods and outputs, and data issues and resolutions
  • Maintenance of analysis code in publicly accessible repositories with appropriate documentation
  • Draft reports or manuscripts documenting analytical methods and findings, including associated metadata
  • Processed and archived datasets, including QA/QC documentation and updates to metadata systems

Minimum Requirements
  • Bachelor’s degree in marine biology, oceanography, acoustics, fisheries science, or related field
  • Working knowledge of underwater acoustic theory and practice, including acoustic propagation, sound measurement, and standard signal processing techniques
  • Experience developing, testing, and validating automated detectors and classifiers for use on passive acoustic datasets
  • Experience processing acoustic data to extract soundscape and ambient noise measurements at hourly to yearly timescales.
  • Ability to design, execute, and interpret statistical analyses of animal abundance to evaluate patterns in occurrence or associations with habitat or fishery variables.
  • Prior experience drafting reports and presenting project results at scientific meetings
  • Proficiency in MATLAB and R programming languages, including MATLAB-based acoustic analysis software Triton.
  • Proficiency with passive acoustic metadata databases such as TETHYS and Makara, including organization of data for input, and query for extracting, evaluating, and using acoustic deployment and detection data stored within the databases.
  • Proficiency in use of open science practices in data analysis, including use of GitHub or other resources for maintaining and archiving analysis code
  • Proficiency with MS Office 
Preferred Qualifications
  • Master’s degree or higher in marine biology, oceanography, acoustics, fisheries science, or related field
  • Experience with acoustic localization techniques, including evaluation of automated algorithms within the standard processing software PAMGUARD, and developing of novel processing and evaluation code.
Place of PerformanceWork may be conducted on-site at PIFSC or remotely, depending on project needs and approval.TravelTravel is anticipated for participation in workshops, conferences, and working group meetings, as well as potential field or at-sea support activities.Additional Requirements
  • Ability to manage large datasets and maintain detailed documentation of analyses and workflows
  • Ability to prepare technical reports and present findings
  • Ability to obtain and maintain required data access permissions, including signing Non-Disclosure Agreements (NDAs) where applicable

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

* This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.

 Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

 
 
 
 

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