English Data Labeling Analyst
By Facebook At Los Angeles Metropolitan Area, United States
• Create and modify data labels ensuring compliance to all regulatory and legal requirements.
• Excellent communication skills, verbal and written.
• Bachelors degree in related field.
• Maintain batch records, room logs, product travelers, and inventory records.
• Label and analyze large data sets to inform product decisions.
• Ability to identify trends within large data sets.
Data Labeling Analyst Ii
By Facebook At San Francisco Bay Area, United States
• Create and modify data labels ensuring compliance to all regulatory and legal requirements.
Bachelors degree in related field.
• Maintain batch records, room logs, product travelers, and inventory records.
• Label and analyze large data sets to inform product decisions.
Senior Program Manager, Data Labeling
By Pinterest At San Francisco, CA, United States
8+ years of program / project management experience
Manage a team of highly skilled program and project managers
Strong track of organizational management, budgeting, and resource management
Manage our multi million dollar budget from planning to monthly reporting in alignment with our quarterly forecast
Manage our vendors and negotiate contracts
A seasoned people manager with a passion for growing others
English Data Labeling Analyst Ii
By Facebook At Los Angeles Metropolitan Area, United States
• Excellent writing, communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience with data annotation tools and techniques
• Familiarity with red teaming
• Execute plans to test the safety of our language model.
• Stay up-to-date on the latest techniques and tools to ensure the model remains secure.
• Strong attention to detail and ability to maintain a high level of accuracy
Data Labeling Analyst Ii
By Facebook At San Francisco Bay Area, United States
• Excellent writing, communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience with data annotation tools and techniques
• Execute plans to test the safety of our language model.
• Stay up-to-date on the latest techniques and tools to ensure the model remains secure.
• Strong attention to detail and ability to maintain a high level of accuracy
• Familiarity with large language models, such as ChatGPT or Google Bard
Data Labeling Analyst Jobs
By Facebook At San Francisco, CA, United States
Excellent writing, communication and collaboration skills, with the ability to work effectively with cross-functional teams
Experience with data annotation tools and techniques
Experience with large language models, such as ChatGPT or Google Bard
Execute plans to test the safety of our language model.
Stay up-to-date on the latest techniques and tools to ensure the model remains secure.
Generative AI Language Research team
Data Labeling Analyst Ii
By Facebook At Daly City, CA, United States
Implement pre-approved changes to workflows and knowledge repositories.
Excellent writing and communication skills
Linguistic skills including morphology and syntax (correct grammatical, spelling, typographical, or compositional errors)
Excellent organizational skills with attention to detail
Excellent technical and computer skills
As an Data Labeling Specialist, you will be supporting the team by maintaining quality and accuracy of native language content.
Linguistic Data Labeling Analyst
By Facebook At San Francisco Bay Area, United States
Implement pre-approved changes to workflows and knowledge repositories.
Excellent writing and communication skills
Linguistic skills including morphology and syntax (correct grammatical, spelling, typographical, or compositional errors)
Excellent organizational skills with attention to detail
Excellent technical and computer skills
Locations: San Francisco, CA | Seattle, WA
Data Labeling Specialist / Manager | Remote (100%)
By Tech Observer At San Francisco, CA, United States
·Manage and scope out multiple labeling projects in a highly cross-functional environment.
·Experience working independently and a track record of taking initiative
·Experience working with large data sets and keeping the quality high.
·Experience in Excel and/or SQL
·Impeccable communication and relationship-building skills
·Drive labeling workflows and projects success metrics and timeline.
Data Labeling Analyst Jobs
By Facebook At Burlingame, CA, United States
Implement pre-approved changes to workflows and knowledge repositories.
Help support and exchange knowledge with other PDO DLAs.
Strategic & Organized: Ability to manage multiple projects/workflows/ communication channels simultaneously.
Organize logistics for data collection projects as needed.
Data Labeling Analyst Jobs
By Facebook At Menlo Park, CA, United States
Implement pre-approved changes to workflows and knowledge repositories.
Generate robust documentation of processes and templated reports to Help support and exchange knowledge with other PDO program areasDLAs.
Strategic & Organized: Ability to manage multiple projects/workflows/ communication channels simultaneously.
Leadership in the face of ambiguity: Experience working independently, stepping up to address a problem even when not given clear instruction.
Perform quality audits to provide labeling metrics and insights, support policy guideline updates, and recommend optimization opportunities across the labeling programs.
Help vendors unblock obstacles by sharing data and escalating bugs and tooling issues to correct engineering teams with necessary documentation.
Data Labeling Analyst Ii
By Facebook At Los Angeles Metropolitan Area, United States
Implement pre-approved changes to workflows and knowledge repositories.
Help support and exchange knowledge with other PDO DLAs.
Strategic & Organized: Ability to manage multiple projects/workflows/ communication channels simultaneously.
Leadership in the face of ambiguity: Experience working independently, stepping up to address a problem even when not given clear instruction.
Tech: Experience with Excel; comfortable applying math to business decisions and large data sets; experience learning a new software platform independently.
Perform quality audits to provide labeling metrics and insights, support policy guideline updates, and recommend optimization opportunities across the labeling programs.