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About skillspath
skillspath is a global leader in innovative customer engagement solutions, empowering businesses to deliver seamless, multilingual support at scale. Our Customer Engagement Technologies (CET) division builds cutting‑edge tools that combine human‑centered design with advanced artificial intelligence, enabling customers worldwide to interact in their preferred language without friction. As part of skillspath’s commitment to breaking language barriers, we are pioneering a neural machine translation platform that powers real‑time, high‑quality translations across dozens of languages. Join a forward‑thinking team where your expertise will directly shape the future of global customer service.
Role Overview
We are seeking a detail‑driven, bilingual Machine Learning Data Associate (MLDA) specializing in German‑English translation to join our CET organization. In this remote position, you will partner closely with the Machine Learning team to audit, evaluate, and improve the performance of our neural translation models. Your insights will guide product enhancements, ensuring that both customers and Customer Service Associates (CSAs) experience flawless, context‑aware communication across email, chat, messaging, and chatbot channels.
Key Responsibilities
- Translation & Localization: Perform native‑level German‑to‑English and English‑to‑German translation reviews, ensuring linguistic accuracy, cultural relevance, and adherence to brand tone.
- Quality Auditing: Systematically audit cross‑language interactions on text‑based support channels, flagging translation errors, inconsistencies, and opportunities for model refinement.
- Data Annotation & Documentation: Record findings in clear, concise English summaries for stakeholders, providing actionable feedback that drives the ML roadmap.
- Stakeholder Collaboration: Work with Program Managers, Product Managers, and engineers to prioritize improvement initiatives, define testing protocols, and align on release schedules.
- Tool Navigation & Process Optimization: Leverage internal analytics, ticketing, and translation platforms to trace the customer journey, identify pain points, and streamline quality‑control workflows.
- Rapid Experimentation: Design and execute A/B tests, iterate on hypotheses, and embrace a “fail fast, learn fast” mindset to continuously elevate translation performance.
- Customer Advocacy: Champion the end‑user experience by translating technical insights into tangible product enhancements that reduce friction for both customers and CSAs.
A Day in the Life
Each day you will immerse yourself in a blend of linguistic analysis and data‑driven decision‑making. You might begin by reviewing a batch of recent chat transcripts, noting where the machine translation fell short. Next, you’ll collaborate with a product manager to prioritize the most impactful fixes, then document your findings in a shared dashboard. Throughout the day, you’ll toggle between translation tools, internal ticketing systems, and data visualization platforms, all while maintaining clear communication with cross‑functional partners across time zones.
Essential Qualifications
- Native‑level fluency in German with professional‑grade English proficiency (both written and spoken).
- Minimum of 1 + year experience in business‑focused localization, translation, or related customer‑service roles.
- Demonstrated ability to interpret customer needs and translate them into precise, actionable requirements.
- Strong attention to detail and a proven track record of delivering high‑quality work under tight deadlines.
- Experience navigating fast‑changing, ambiguous environments and adapting priorities on short notice.
- Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
Preferred Qualifications & Skills
- Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field.
- Hands‑on experience with machine learning pipelines, natural language processing (NLP), or neural machine translation technologies.
- Familiarity with cloud‑based translation services (e.g., skillspath Translate) and the ability to evaluate model outputs critically.
- Project management experience, including scoping, backlog maintenance, deadline setting, and status reporting.
- Proficiency in data analysis tools (SQL, Python, Excel) to extract insights from large interaction datasets.
- Prior exposure to customer‑service platforms, ticketing systems, or chatbot frameworks.
Core Competencies for Success
- Analytical Mindset: Ability to dissect thousands of interactions, identify patterns, and surface root causes.
- Customer‑Obsessed Attitude: Deep empathy for both end‑users and CSAs, driving decisions that enhance overall satisfaction.
- Collaboration & Influence: Skillful at building trust across cross‑functional teams, influencing without authority.
- Adaptability: Comfortable thriving in a dynamic, rapidly evolving product environment.
- Communication Excellence: Clear, concise, and persuasive documentation and presentation abilities.
- Continuous Learning: Eagerness to stay current with advances in AI, translation technology, and multilingual UX design.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its employees. As an MLDA, you will have access to:
- Mentorship from senior data scientists and product leaders who are shaping the future of AI‑driven customer support.
- Internal training programs covering advanced NLP, model evaluation, and data annotation best practices.
- Opportunities to transition into specialized roles such as Machine Learning Engineer, Product Owner, or Localization Program Manager.
- Cross‑team projects that broaden exposure to global product strategy, engineering, and operations.
- Conference sponsorships and participation in industry forums focused on AI, translation, and customer experience.
Work Environment & Culture at skillspath
Our remote‑first culture emphasizes flexibility, autonomy, and inclusion. skillspath celebrates diverse perspectives and encourages every voice to be heard. Key cultural pillars include:
- Innovation‑First: We champion bold ideas, rapid prototyping, and data‑driven experimentation.
- Inclusivity & Belonging: A supportive environment where people of all backgrounds thrive.
- Customer‑Centricity: Every decision is filtered through the lens of how it will improve the customer journey.
- Work‑Life Harmony: Flexible schedules, generous paid time off, and resources for mental and physical well‑being.
Compensation, Perks & Benefits
skillspath offers a competitive total‑compensation package that reflects market realities across the United States and beyond. While exact figures vary by location and experience, you can expect:
- Base salary aligned with industry benchmarks for bilingual data specialists.
- Performance‑based bonuses tied to the impact of translation quality improvements.
- Comprehensive medical, dental, and vision coverage for you and eligible dependents.
- Generous parental leave, paid time off, and flexible holiday policies.
- Retirement savings plans with company matching contributions.
- Professional development stipend for courses, certifications, or conferences.
- Employee assistance programs, wellness resources, and remote‑work allowances.
Commitment to Diversity, Equity & Inclusion
skillspath is an equal‑opportunity employer. We are dedicated to building a workforce that reflects the global communities we serve. All qualified applicants will receive consideration without regard to race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected characteristic. We also honor Fair Chance Ordinances in Los Angeles County and San Francisco, reviewing applicants with arrest or conviction records on a case‑by‑case basis.
How to Apply
If you are passionate about language, data, and AI, and you thrive in a collaborative, fast‑paced environment, we want to hear from you. Submit your application through skillspath’s career portal, attaching a resume that highlights your bilingual expertise, translation experience, and any relevant data‑analysis projects. Our recruiting team will review your profile and reach out to schedule a conversation.
Join skillspath and Shape the Future of Global Customer Service
At skillspath, your work will directly influence how millions of customers communicate across borders. By ensuring that machine translation is accurate, context‑aware, and reliable, you will help eliminate language as a barrier and empower CSAs to deliver world‑class support. Embrace the challenge, bring your linguistic precision, and become a catalyst for change in a company that values curiosity, impact, and continuous growth.
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