Experienced Bilingual Machine Learning Data Associate - Italian (Remote) for Customer Engagement Technology at arenaflex

At arenaflex, we're revolutionizing the way we interact with customers across the globe. Our Customer Engagement Technologies (CET) organization is at the forefront of this revolution, developing innovative products that empower customers to effortlessly self-serve and interact with our customer service associates. As we continue to push the boundaries of customer experience, we're seeking a talented Machine Learning Data Associate (MLDA) - Specialist Italian to join our team and drive Italian-to-English and English-to-Italian machine translation improvements.

About arenaflex's Customer Engagement Technologies

arenaflex's CET organization is a global powerhouse, developing elegant customer and customer service associate-facing products that offer effortless self-service and automated solutions to our customers. Our products are designed to remove language barriers and enable flexibility in the customer service labor force, ultimately allowing arenaflex to support customers anywhere in the world, regardless of the language they speak. With a focus on human-centered design, our associate-facing products empower customer service associates to effectively and elegantly solve customers' issues.

The Role

As a Machine Learning Data Associate (MLDA) - Specialist Italian, you will play a critical role in driving Italian-to-English and English-to-Italian machine translation improvements in partnership with our Machine Learning team. Your primary responsibilities will include:

• Auditing cross-language interactions on text-based channels to review and assess the quality of machine translations in each direction
• Informing on the highest priority machine translation improvement opportunities that will enhance the customer experience
• Working with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes
• Augmenting the customer experience through product testing and executing the machine learning roadmap for the product

A Day in the Life

As a Machine Learning Data Associate (MLDA) - Specialist Italian, your day will be filled with exciting challenges and opportunities. Here are some key daily activities you can expect:

• Localization/Translation: You will utilize your native-level translation and localization skills in Italian to support internal and external customers and related products.
• Testing various workstreams: You will test and evaluate the quality of machine translations in each direction, identifying areas for improvement and informing on the highest priority machine translation improvement opportunities.
• Contact Reading in native language while documenting findings in English: You will read and analyze customer interactions in Italian, documenting your findings in English for stakeholders.
• Stakeholder management: You will work closely with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes.

Benefits Summary

At arenaflex, we offer a comprehensive range of benefits that support you and your eligible family members, including domestic partners and their children. Some of the benefits we offer include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

About the Team

Our Omni MLDA team is a division of Customer Engagement Technologies (CET), partnering with key stakeholders to automate customer service processes and enhance the end-to-end customer experience. We're a dynamic and innovative team that's passionate about delivering exceptional customer experiences.

Basic Qualifications

To be successful in this role, you'll need to possess the following qualifications:

• Fluency in Italian and English (verbal and written communication)
• 1+ years business experience in localization and translation
• Strong attention to details
• Exceptional communicational skills
• Customer service experience
• Experience working in complex and frequently-changing environments
• Ability to interpret customer need and frame that as clear requirements

Preferred Qualifications

While not required, the following qualifications would be beneficial in this role:

• Project planning experience, including project scoping, deadline-setting, backlog maintenance, and reporting
• Bachelor's Degree
• Practical knowledge of data processing needs and trade-offs
• Experience working with machine learning, Artificial intelligence, natural language understanding data

Why Join arenaflex?

At arenaflex, we're committed to creating a workplace culture that's inclusive, diverse, and empowering. We believe in the importance of innovation, customer obsession, and operational excellence. If you're passionate about delivering exceptional customer experiences and are looking for a challenging and rewarding role, we encourage you to apply.

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.

Los Angeles County Applicants

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Accommodations for Applicants with Disabilities

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.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32,700/year in our lowest geographic market up to $70,000/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.

Total Compensation Package

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.

Apply Now

If you're passionate about delivering exceptional customer experiences and are looking for a challenging and rewarding role, we encourage you to apply. Apply for this job