Data Scientist
Miami, FL · On-site +1
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · On-site +1
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · Remote
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Quick apply
Data Scientist
Miami, FL · Remote
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · Remote
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Quick apply
Data Scientist
Miami, FL · Remote
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · On-site
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · On-site
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · On-site +1
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
Data Scientist
Miami, FL · On-site +1
Support annotation of datasets and development of machine learning models, including training and ... Participate in interdisciplinary working groups and collaborative research efforts * Support ...
... annotation to determine function and estimate population abundance and demographics. 5. Trains ... data analyses. 8. Designs and applies scientific and numerical models in research. 9. Monitors ...
... annotation to determine function and estimate population abundance and demographics. 5. Trains ... data analyses. 8. Designs and applies scientific and numerical models in research. 9. Monitors ...
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
Quick apply
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
The last 20 years have seen an explosion of genetic information and data. New technological ... research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we ...
Company Description Welo Data works with technology companies to provide datasets that are high ... ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
Company Description Welo Data works with technology companies to provide datasets that are high ... ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
Data Annotation Research information
What qualifications do I need for data annotation?
Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.
What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?
Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.
Does data annotation actually pay?
Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.
How hard is it to get hired by data annotation?
Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.
What is the difference between Data Annotation Research vs Data Labeling Specialist?
| Aspect | Data Annotation Research | Data Labeling Specialist |
|---|---|---|
| Credentials | Typically requires a background in data science, research methods, or related fields | Often requires basic technical skills and experience with labeling tools |
| Work Environment | Research labs, tech companies, or remote research teams | Data centers, tech companies, or remote labeling teams |
| Industry Usage | Used in AI/ML research, developing annotation methodologies | Used in preparing datasets for machine learning models |
| Search & Comparison Intent | Understanding research-focused roles in data annotation | Looking for practical data labeling jobs |
Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.
Is data annotation real or fake?
Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.
What is data annotation research?
Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.
What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?
To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are popular job titles related to Data Annotation Research jobs in Miami, FL? For Data Annotation Research jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Miami, FL look for? The top searched job categories for Data Annotation Research jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Annotation Research jobs? Cities near Miami, FL with the most Data Annotation Research job openings:
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
About A.I.S.
Sourced by ZipRecruiter
Industry
Environmental consulting services
Company size
201 - 500 Employees
Headquarters location
North Dartmouth, MA, US
Year founded
1988