ZipRecruiter

Log In

1

Data Annotation Services Jobs in Hawaii (NOW HIRING)

All JobsData Annotation Services JobsData Annotation Services Jobs in Hawaii

Data Annotation Services information

How hard is it to get hired by data annotation?

Getting hired for data annotation services typically requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and may not require prior experience, but familiarity with annotation tools and good accuracy can improve chances of employment.

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

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

Does data annotation actually pay you?

Data annotation services typically pay workers for labeling data used in machine learning models. Payment rates vary depending on the platform, task complexity, and experience, with many jobs offering hourly or per-task compensation. Reliable platforms often require basic skills in data handling and attention to detail.

Is data annotation real or fake?

Data annotation is a legitimate job that involves labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What does a data annotation job do?

A data annotation job involves labeling or tagging data such as images, text, or videos to help train machine learning models. Workers use tools to add metadata, which improves the accuracy of AI systems, often working remotely with flexible schedules and requiring attention to detail. Knowledge of annotation tools and data quality standards is beneficial.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
What job categories do people searching Data Annotation Services jobs in Hawaii look for? The top searched job categories for Data Annotation Services jobs in Hawaii are:
What cities in Hawaii are hiring for Data Annotation Services jobs? Cities in Hawaii with the most Data Annotation Services job openings:
Data Annotation Services jobs near you
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 4 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.

 
 
 
 

Apply