02 Jun Project Coordinator IV 9148-1
Job Description:* Build high quality data annotation (labeling) workflows for machine learning data sets, implementing the required queries, pipelines, and visualizations, using Facebook’s data tools and frameworks.* Translate research scientists’ data annotation requirements into technical solutions using internal tools.* Communicate progress and plans and raise critical issues with peers, manager, and cross-functional partners in a timely manner.* Implement custom metrics and generate reports on annotation efficiency and accuracy.* Monitor problems, facilitate resolution, and implement changes as necessary to keep projects on track.* Develop data set management tools, to upload, download, parse and manipulate data.* Create documentation including solution design and training materials for annotators.* May report to a senior project or technical program manager.Skills* Demonstrated proficiency in data engineering, with experience working with machine learning data labeling pipelines.* Proven project management, interpersonal, and communication skills, with strong attention to detail.* Ability to work independently with minimal guidance by using good judgement and problem-solving skills.* Understand and follow standard engineering processes to implement, test, and operationalize data annotation pipelines.* Ability to collaborate cross-functionally with team members and individuals throughout the broader organization.* Resourceful in getting answers to questions and work through any issues in reasonable time.* Ability to build solutions with reliability, efficiency, security (data privacy, data access, etc.) and performance.* Must be proactive, with proven ability to execute on multiple tasks simultaneously.* Strong organizational and time management skills.* Familiarity with Linux and Bash shell commands and scripting.* Knowledge of SQL.* At least of 2 years of experience with Python and PHP.* Basic video editing skills needed for creating training videos.* Experience working in a fast-paced research and/or product development environment.Education* Bachelor’s degree or equivalent work experience in computer science, engineering or MIS.