Data Management Specialist – Trawl Video Reviewer (21-1159): Washington

Updated: about 2 months ago
Location: Seattle, WASHINGTON
Job Type: PartTime
Deadline: 20 Oct 2021

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Pacific States Marine Fisheries Commission
Seattle, WA
Job Category
Part Time Vacancies
Start Date
Last Date to Apply
Title: Data Management Specialist - Trawl Video Reviewer (21-1159) Location: Seattle, Washington (98115) Anticipated Start Date: November 15, 2021 Position Type: Seasonal (6+ months but less than 12 months), Hourly/Non-Exempt Benefits Eligible: No | Salary Target: $25.00/hour Job Number: 21-1159 How to Apply: Online at Closing Date: October 20, 2021 at Midnight PT Group Definition: Data Management Specialists (Natural Sciences) use a background in the natural sciences as they assist in the population, maintenance, enhancement and distribution of databases. They locate, obtain, standardize, enter, verify, and correct various data sets related to project goals and work plans. Position/Project Specifics: We are seeking two Data Management Specialists to work part-time (20 hours/week) for 30 weeks with the Conservation Engineering group (CE) within the Midwater Assessment and Conservation Engineering (MACE) Program in the Resource Assessment and Conservation Engineering (RACE) Division of the Alaska Fisheries Science Center (AFSC, NOAA Fisheries). Under the direction of the project lead, the incumbents will participate in video review of footage collected inside a Bering Sea trawl, detecting Pacific salmon in the frames. They will also support efforts to develop machine learning (ML) and artificial intelligence (AI) methods for automated review of the same video footage. This includes identifying and annotating pollock, salmon, and frame-level scene labels (e.g., fish presence, occlusions, periods during the fishing process). This work will contribute to a broader project aimed at bycatch mitigation in Alaska fisheries, and in developing innovative technology in support of fisheries research. It also provides an opportunity to be a part of a dynamic team of individuals conducting applied fisheries research. Candidates should be familiar with fish biology sufficiently to distinguish among species that need to be identified. Beneficial, but not required, for this position is previous experience reviewing video footage and annotation experience. Familiarity with fisheries and conservation engineering research would also be beneficial. Attributes of a successful candidate include: attention to detail, patience, teamwork, timeliness, organization, written and oral communication skills, and problem solving. Essential Functions: (The functions listed below are characteristic of the type and level of work associated with this group and pay band. They are not all-inclusive. Individual positions may perform some or all, as well as other similar work.) At the lower end of the range, employees: • Compile natural resources data from pre-existing data sources. • Assist biologists with simple analysis and interpretation of data. • Keep records on methods and parameters of data collection. • Present information in common graphical formats. • Write narrative descriptions of communities according to standardized format. Assure data is handled consistently across different communities. At the upper end of the range, employees: • Compile project data into standardized electronic data formats. This includes accessing filed information and verifying its accuracy and completeness, performing data entry, electronic data transfer, editing, and error checking. • Extract relevant data and present it in a variety of text and numeric formats, reports, tables, graphics, or figures. • Maintain local versions of datasets in accordance with established regional database exchange formats and standards. • Maintain a local archive of current and historical reports and documents. Coordinate the regular transfer of reference materials to archives and libraries. • Create queries, summaries, and/or maps for recurring reports. • Assist biologists with simple analysis and interpretation of data. Knowledge Required by the Position: The employee must have knowledge of: • natural sciences • fish biology/species identification • personal computers and software packages and applications for databases, spreadsheets, and word processing (e.g., Microsoft Office, including Access) • database entry and management • database management concepts, principles, and methods • quality assurance principles • common query languages sufficient to: input data; structure information retrievals; edit, combine and manipulate data; and/or provide reports for users. This knowledge allows the employee to assess or interpret the significance of the results and relate that to the overall objective of the assignment. Additional Mandatory Knowledge and Skills: • MS Access • MS Excel • MS Word • VLC Media Player • oral communication skills Additional Desirable Knowledge and Skills: • experience with video or image review (e.g., Electronic Monitoring) • experience with annotation and related ML tools (e.g., CVAT and TensorFlow) • experience working in Google cloud • experience working with fisheries data • exposure to Alaska fisheries • exposure to conservation engineering research • computer vision and image processing • proficiency in various OS systems (Windows, Linux, Mac) and programming languages (Python, C++) • experience with version-control software (Git) • experience writing technical documentation • experience evaluating, training, and applying machine learning and artificial intelligence models Physical Demands: The work is generally sedentary, although there may be some nominal walking or standing for short periods of time, or carrying of light loads of papers, books, reports, etc., that require only moderate physical ability and physical stress. Significant amounts of time may be spent on the phone and/or computer. Work Environment: The works area is adequately lighted, heated, and ventilated. The work involves the common risks or discomforts typical of office, meeting rooms, libraries, and the like. If selected for this position, candidate must reside in or be willing to relocate to a PSMFC member state (California, Oregon, Washington, Idaho, or Alaska). New hires may be required to provide proof of COVID-19 vaccination or be subject to routine COVID testing. ________________________________________ Pacific States Marine Fisheries Commission is an Affirmative Action (AA) and Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, gender identity, age, mental or physical disability, sexual orientation, veteran status, genetic data, or other legally protected status. If you have a disability and need assistance completing the application form, you may call the PSMFC human resources office at (503) 595-3100 between the hours of 8 a.m. and 5:00 p.m. PST, Monday-Friday. Reasonable accommodations for interviews will be provided upon request to individuals with disabilities. We maintain a drug-free workplace.
Minimum Qualification Requirements: A range of experience and education may be presented. At the lower end of the range, candidates must present one year of Specialized Experience** OR four years of successfully completed education above high school leading to a bachelor's degree in the natural sciences (biology, fishery biology, environmental science, aquatic science, geology, chemistry, physics, mathematics, statistics), or any other field that provides the same knowledge. An equivalent combination of experience and education is also qualifying. At the upper end of the range, candidates must present one year of Specialized Experience** OR one year of graduate education that is directly related to the work of the position. An equivalent combination of experience and education is also qualifying. **Specialized Experience is experience that equips the applicant with the knowledge, skills, and abilities to perform successfully the duties of the position and is typically in or related to the work of the position being filled. To be creditable, Specialized Experience must have been equivalent to at least the next lower level in the normal line of progression for the position being filled.
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