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We're looking for a talented and driven Human Data Manager to join our team and make a real impact on the development of our products. In this role, you will guide and mentor a large team of AI tutors while maintaining data integrity. The ideal candidate is passionate about AI technologies and has a strong background in data curation, attention to detail, technical expertise in AI and ML concepts, and exceptional leadership and communication skills.
Key Responsibilities:
Team Leadership and Development Guide and mentor a large team of tutors, providing direction and support to ensure data integrity. Conduct performance analyses, identify areas for improvement, and implement training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development initiatives and performance reviews. Develop and create strategies, including gamification elements, to motivate and recognize team members who exceed expectations. Project Management and Coordination Collaborate with cross-functional teams to define and refine project scope, objectives, and quality control guidelines. Support the accurate projections and detailed timelines for efficient project execution. Prioritize tasks, adjust resources, and manage the project flow to address blockers and ensure timely delivery. Optimize resource allocation by distributing tasks and personnel across projects. Data Quality and Integrity You’re not afraid to dive into the data and get in the trenches to understand labeling inefficiencies. Ensure the integrity and security of data throughout the annotation process. Analyze data and evaluation sets to identify key findings, communicate insights effectively, and suggest actionable improvements based on model behaviors. Maintain active communication with project leads, providing updates on progress, challenges, and solutions. Encourage the sharing of best practices and lessons learned among team members to foster continuous improvement. Technical Collaboration and Innovation Interact and collaborate with technical teams to develop or refine internal tooling that supports project objectives. Stay informed of the latest industry trends and technologies that could impact data curation processes. Contribute to the development and optimization of annotation tools and methodologies. Required Qualifications:
Strong background in data curation or related fields, with hands-on experience in data quality and labeling processes. Technical expertise in AI and machine learning concepts, tools, and practices. Excellent analytical skills, with the ability to analyze data sets, identify trends and anomalies, and provide actionable insights. Proven leadership experience, with the ability to guide and mentor teams. Strong communication skills, capable of effectively articulating technical concepts to both technical and non-technical team members. Detail-oriented approach, ensuring high-quality outputs and overseeing project-wide quality standards. Experience in creating and maintaining documentation for technical processes, guidelines, and training materials. If you are passionate about AI, have a strong focus on data integrity, are scrappy, and possess the skills to lead and develop a high-performing team, we encourage you to apply for this exciting opportunity. We offer the following employee benefits: Competitive cash and equity-based compensation Medical, dental, and vision insurance Unlimited paid time off subject to prior approval Annual Salary Range:
$104,000 to $163,000 Location : Remote or San Francisco, CA / Palo Alto, CA Human Data ManagerLocation Palo Alto, California, United States Description We're looking for a talented and driven Human Data Manager to join our team and make a real impact on the development of our products. In this role, you will guide and mentor a large team of AI tutors while maintaining data integrity. The ideal candidate is passionate about AI technologies and has a strong background in data curation, attention to detail, technical expertise in AI and ML concepts, and exceptional leadership and communication skills. Key Responsibilities:
Team Leadership and Development Guide and mentor a large team of tutors, providing direction and support to ensure data integrity. Conduct performance analyses, identify areas for improvement, and implement training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development initiatives and performance reviews. Develop and create strategies, including gamification elements, to motivate and recognize team members who exceed expectations. Project Management and Coordination Collaborate with cross-functional teams to define and refine project scope, objectives, and quality control guidelines. Support the accurate projections and detailed timelines for efficient project execution. Prioritize tasks, adjust resources, and manage the project flow to address blockers and ensure timely delivery. Optimize resource allocation by distributing tasks and personnel across projects. Data Quality and Integrity You’re not afraid to dive into the data and get in the trenches to understand labeling inefficiencies. Ensure the integrity and security of data throughout the annotation process. Analyze data and evaluation sets to identify key findings, communicate insights effectively, and suggest actionable improvements based on model behaviors. Maintain active communication with project leads, providing updates on progress, challenges, and solutions. Encourage the sharing of best practices and lessons learned among team members to foster continuous improvement. Technical Collaboration and Innovation Interact and collaborate with technical teams to develop or refine internal tooling that supports project objectives. Stay informed of the latest industry trends and technologies that could impact data curation processes. Contribute to the development and optimization of annotation tools and methodologies. Required Qualifications:
Strong background in data curation or related fields, with hands-on experience in data quality and labeling processes. Technical expertise in AI and machine learning concepts, tools, and practices. Excellent analytical skills, with the ability to analyze data sets, identify trends and anomalies, and provide actionable insights. Proven leadership experience, with the ability to guide and mentor teams. Strong communication skills, capable of effectively articulating technical concepts to both technical and non-technical team members. Detail-oriented approach, ensuring high-quality outputs and overseeing project-wide quality standards. Experience in creating and maintaining documentation for technical processes, guidelines, and training materials. Bachelors degree. If you are passionate about AI, have a strong focus on data integrity, are scrappy, and possess the skills to lead and develop a high-performing team, we encourage you to apply for this exciting opportunity. Benefits
We offer the following employee benefits: Competitive cash and equity-based compensation Medical, dental, and vision insurance Unlimited paid time off subject to prior approval Annual Salary Range:
$104,000 to $163,000 Location : Remote or San Francisco, CA / Palo Alto, CA
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
Please mention the word **ENJOYING** and tag RNTkuOTMuOTIuMTA2 when applying to show you read the job post completely (#RNTkuOTMuOTIuMTA2). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.Job type:Remote jobTags
manager security training technical support management lead Sent 212 days ago Apply on external site
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Team Leadership and Development Guide and mentor a large team of tutors, providing direction and support to ensure data integrity. Conduct performance analyses, identify areas for improvement, and implement training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development initiatives and performance reviews. Develop and create strategies, including gamification elements, to motivate and recognize team members who exceed expectations. Project Management and Coordination Collaborate with cross-functional teams to define and refine project scope, objectives, and quality control guidelines. Support the accurate projections and detailed timelines for efficient project execution. Prioritize tasks, adjust resources, and manage the project flow to address blockers and ensure timely delivery. Optimize resource allocation by distributing tasks and personnel across projects. Data Quality and Integrity You’re not afraid to dive into the data and get in the trenches to understand labeling inefficiencies. Ensure the integrity and security of data throughout the annotation process. Analyze data and evaluation sets to identify key findings, communicate insights effectively, and suggest actionable improvements based on model behaviors. Maintain active communication with project leads, providing updates on progress, challenges, and solutions. Encourage the sharing of best practices and lessons learned among team members to foster continuous improvement. Technical Collaboration and Innovation Interact and collaborate with technical teams to develop or refine internal tooling that supports project objectives. Stay informed of the latest industry trends and technologies that could impact data curation processes. Contribute to the development and optimization of annotation tools and methodologies. Required Qualifications:
Strong background in data curation or related fields, with hands-on experience in data quality and labeling processes. Technical expertise in AI and machine learning concepts, tools, and practices. Excellent analytical skills, with the ability to analyze data sets, identify trends and anomalies, and provide actionable insights. Proven leadership experience, with the ability to guide and mentor teams. Strong communication skills, capable of effectively articulating technical concepts to both technical and non-technical team members. Detail-oriented approach, ensuring high-quality outputs and overseeing project-wide quality standards. Experience in creating and maintaining documentation for technical processes, guidelines, and training materials. If you are passionate about AI, have a strong focus on data integrity, are scrappy, and possess the skills to lead and develop a high-performing team, we encourage you to apply for this exciting opportunity. We offer the following employee benefits: Competitive cash and equity-based compensation Medical, dental, and vision insurance Unlimited paid time off subject to prior approval Annual Salary Range:
$104,000 to $163,000 Location : Remote or San Francisco, CA / Palo Alto, CA Human Data ManagerLocation Palo Alto, California, United States Description We're looking for a talented and driven Human Data Manager to join our team and make a real impact on the development of our products. In this role, you will guide and mentor a large team of AI tutors while maintaining data integrity. The ideal candidate is passionate about AI technologies and has a strong background in data curation, attention to detail, technical expertise in AI and ML concepts, and exceptional leadership and communication skills. Key Responsibilities:
Team Leadership and Development Guide and mentor a large team of tutors, providing direction and support to ensure data integrity. Conduct performance analyses, identify areas for improvement, and implement training initiatives. Foster a culture of excellence, continuous learning, and employee engagement through development initiatives and performance reviews. Develop and create strategies, including gamification elements, to motivate and recognize team members who exceed expectations. Project Management and Coordination Collaborate with cross-functional teams to define and refine project scope, objectives, and quality control guidelines. Support the accurate projections and detailed timelines for efficient project execution. Prioritize tasks, adjust resources, and manage the project flow to address blockers and ensure timely delivery. Optimize resource allocation by distributing tasks and personnel across projects. Data Quality and Integrity You’re not afraid to dive into the data and get in the trenches to understand labeling inefficiencies. Ensure the integrity and security of data throughout the annotation process. Analyze data and evaluation sets to identify key findings, communicate insights effectively, and suggest actionable improvements based on model behaviors. Maintain active communication with project leads, providing updates on progress, challenges, and solutions. Encourage the sharing of best practices and lessons learned among team members to foster continuous improvement. Technical Collaboration and Innovation Interact and collaborate with technical teams to develop or refine internal tooling that supports project objectives. Stay informed of the latest industry trends and technologies that could impact data curation processes. Contribute to the development and optimization of annotation tools and methodologies. Required Qualifications:
Strong background in data curation or related fields, with hands-on experience in data quality and labeling processes. Technical expertise in AI and machine learning concepts, tools, and practices. Excellent analytical skills, with the ability to analyze data sets, identify trends and anomalies, and provide actionable insights. Proven leadership experience, with the ability to guide and mentor teams. Strong communication skills, capable of effectively articulating technical concepts to both technical and non-technical team members. Detail-oriented approach, ensuring high-quality outputs and overseeing project-wide quality standards. Experience in creating and maintaining documentation for technical processes, guidelines, and training materials. Bachelors degree. If you are passionate about AI, have a strong focus on data integrity, are scrappy, and possess the skills to lead and develop a high-performing team, we encourage you to apply for this exciting opportunity. Benefits
We offer the following employee benefits: Competitive cash and equity-based compensation Medical, dental, and vision insurance Unlimited paid time off subject to prior approval Annual Salary Range:
$104,000 to $163,000 Location : Remote or San Francisco, CA / Palo Alto, CA
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
Please mention the word **ENJOYING** and tag RNTkuOTMuOTIuMTA2 when applying to show you read the job post completely (#RNTkuOTMuOTIuMTA2). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.Job type:Remote jobTags
manager security training technical support management lead Sent 212 days ago Apply on external site
Share on Facebook Share on Twitter Share on LinkedIn Share via Email Back to index #J-18808-Ljbffr