Experienced Machine Learning Quality Process Lead - Customer Engagement Technology
At arenaflex, we're revolutionizing the way customers interact with our services, and we're looking for a talented Machine Learning Quality Process Lead to join our Omni Machine Learning Data Associate (MLDA) team within our Customer Engagement Technology (CET) organization. As a key member of our team, you'll play a crucial role in ensuring the quality of our machine learning models, driving innovation, and delivering exceptional customer experiences.
About arenaflex
arenaflex is a global leader in customer service, empowering our customers to effortlessly self-serve and automate solutions to their needs. Our Customer Engagement Technology (CET) organization develops elegant customer and CS Associate (CSA) facing products globally, enabling CSAs to effectively and elegantly solve customers' issues using human-centered design. We're committed to innovation, customer satisfaction, and employee growth, and we're seeking a talented Machine Learning Quality Process Lead to join our team.
Job Summary
We're seeking a highly skilled Machine Learning Quality Process Lead who is fluent in Portuguese and English to join our Omni MLDA team. As a Machine Learning Quality Process Lead, you'll be responsible for managing quality management processes to analyze, improve annotation, testing, and contact reading accuracy to support new feature and product launches for Customer Service Large Language Models (LLMs). You'll work closely with cross-functional teams to ensure high-quality data, identify areas for improvement, and drive innovation in our machine learning models.
Key Responsibilities
* Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement.
* Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy.
* Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices.
* Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team.
* Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement.
* Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks.
A Day in the Life
As a Machine Learning Quality Process Lead at arenaflex, you'll have the opportunity to work on exciting projects, collaborate with talented teams, and drive innovation in our machine learning models. You'll be responsible for ensuring the quality of our machine learning models, driving innovation, and delivering exceptional customer experiences.
Benefits and Perks
* Medical, Dental, and Vision Coverage
* Maternity and Parental Leave Options
* Paid Time Off (PTO)
* 401(k) Plan
* Opportunity to work on exciting projects and drive innovation in our machine learning models
* Collaborative and inclusive work environment
* Professional growth and development opportunities
* Competitive compensation and benefits package
About the Team
Our Omni MLDA team is a remote team that works together to develop and fine-tune generative AI machine learning models and executes testing plans to take the customer service experience to the next level. We're a team of talented individuals who are passionate about innovation, customer satisfaction, and employee growth.
Basic Qualifications
* Language fluency in Portuguese (Native-level) and English
* Experience in creating and managing ML annotation processes, testing models, and quality assurance methodologies
* Analytical and problem-solving skills to identify patterns, inconsistencies, and areas for improvement
* Ability to thoroughly investigate and identify misalignment between annotations and SOPs, as well as the root causes of inaccuracies
* Strong ownership and accountability to meet SLAs, and proactive communication regarding blockers, and proposed solutions
* Ability to collaborate closely with cross-functional teams, understand project/stakeholder requirements, and align annotation efforts and model testing accordingly
Preferred Qualifications
* Bachelor's Degree
* Experience in annotation
* Familiarity in using Excel
* Experience with project management and stakeholder management
Compensation and Benefits
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
How to Apply
If you're a talented Machine Learning Quality Process Lead who is passionate about innovation, customer satisfaction, and employee growth, we encourage you to apply for this exciting opportunity. Please submit your application via our internal or external career site.
Equal Opportunity Employer
arenaflex is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We're committed to creating an inclusive culture that empowers our employees to deliver the best results for our customers.
Accommodations
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Apply Now
Don't miss this opportunity to join our talented team and drive innovation in our machine learning models. Apply now to become a Machine Learning Quality Process Lead at arenaflex.
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Join our team and drive innovation in machine learning models
At arenaflex, we're revolutionizing the way customers interact with our services, and we're looking for a talented Machine Learning Quality Process Lead to join our Omni Machine Learning Data Associate (MLDA) team within our Customer Engagement Technology (CET) organization.
About arenaflex
arenaflex is a global leader in customer service, empowering our customers to effortlessly self-serve and automate solutions to their needs. Our Customer Engagement Technology (CET) organization develops elegant customer and CS Associate (CSA) facing products globally, enabling CSAs to effectively and elegantly solve customers' issues using human-centered design.
Key Responsibilities
- Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement.
- Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy.
- Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices.
- Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team.
- Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement.
- Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks.
Benefits and Perks
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- Opportunity to work on exciting projects and drive innovation in our machine learning models
- Collaborative and inclusive work environment
- Professional growth and development opportunities
- Competitive compensation and benefits package
How to Apply
If you're a talented Machine Learning Quality Process Lead who is passionate about innovation, customer satisfaction, and employee growth, we encourage you to apply for this exciting opportunity. Please submit your application via our internal or external career site.
Equal Opportunity Employer
arenaflex is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We're committed to creating an inclusive culture that empowers our employees to deliver the best results for our customers.
Accommodations
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Apply Now
Don't miss this opportunity to join our talented team and drive innovation in our machine learning models. Apply now to become a Machine Learning Quality Process Lead at arenaflex.
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