Role Description Ready to own the data pipeline powering the voice of the next generation of AI characters? You'll be joining a well-funded startup building AI character technology, where speech is a core part of the product experience. Think super natural conversations, handling interruptions, personality shifts and more! You'll own the datasets that power their speech systems — from raw, messy audio through to clean, versioned training corpora that directly drive TTS and ASR model performance. - Own the full data lifecycle — defining specs, auditing and curating large-scale audio and text corpora - Build automated quality metrics and dashboards across SNR, VAD, WER, speaker verification and safety, validated against listening tests - Train and deploy lightweight classifiers for noise detection, diarisation, language ID, and content moderation Qualifications - Deep experience working with speech and audio data at scale — 1M+ hours - Strong ML engineering skills in Python and PyTorch, including training and fine-tuning models like Whisper or Wav2Vec - Practical knowledge of audio processing — torchaudio, librosa, spectrograms, DSP basics - A solid understanding of audio quality metrics — MOS, WER, PESQ/STOI, SNR, speaker verification Requirements - Experience with Spark/Beam, Airflow, SQL or similar data engineering tools - Open-source contributions or publications in speech or audio ML - Background in denoising and enhancement, and how it affects downstream model quality Benefits - Remote, with a preference for European or overlapping timezones - Competitive compensation and equity

Benefits: - Health insurance - Paid time off - Training & development The scope of the proposed services will include the following: ● Design, develop, and maintain ETL processes and systems. ● Create and implement ETL strategies to meet LDWF and OTS requirements. ● Collect, clean, and integrate data from various sources, including structured and unstructured data. ● Develop and maintain data models and data mappings. ● Ensure data quality and integrity by implementing data validation and error handling processes. ● Collaborate with LDWF stakeholders and OTS technical teams to define and prioritize requirements. ● Provide technical knowledge transfer, training, and documentation to OTS and LDWF Agency staff for all requested work. ● Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies. ● Cooperation with LDWF’s Technical Architect and other OTS technical teams to ensure compliance with OTS standards of State applications. ● Perform all other tasks, special projects, analysis, studies, and plans as directed. Expertise and/or relevant experience in the following areas are mandatory: ● Two (2) plus years advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types. ● Four (4) plus years experience working on data migration or data integration projects with specific experience in building automated, repeatable workflows; performance tuning; data cleansing; API integration; audit logging and exception handling. Expertise and/or relevant experience in the following areas are desirable: ● Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM). ● Experience with enterprise ETL tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or SSIS. ● Experience with scripting languages such as Python, PowerShell, Java. ● Experience working on a development team. ● Experience with client engagements on design, delivery, deployment and on-going maintenance. ● Previous experience working in an Agile/Scrum environment. This is a remote position.

Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 years of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

Job Title: Data Engineer – Network Analytics Location: Remote Experience: 4–6 years Overview We are looking for a Data Engineer with strong analytical capabilities and a passion for deep-diving into data. The role will focus on supporting operation/financial teams by delivering actionable insights, building data pipelines, and enabling data-driven decision-making for network optimization. Key Responsibilities - Perform deep-dive analysis on large datasets to identify trends, inefficiencies, and optimization opportunities - Design, build, and maintain scalable data pipelines and data models - Develop dashboards and reports for network performance monitoring - Analyse operational metrics - Ensure data quality, consistency, and reliability across systems - Collaborate with cross-functional teams including analytics, operations, and product - Automate repetitive data processes and improve existing workflows Required Skills - Strong analytical and problem-solving skills with ability to “dig deep” into data - Hands-on experience with SQL (advanced level) - Experience with data engineering tools (e.g., Spark, Python, ETL tools) - Familiarity with data warehousing concepts (Snowflake, etc.) - Experience building dashboards using tools like Power BI / Tableau - Good understanding of logistics/network analytics (preferred but not mandatory) - Ability to work with large, complex datasets Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.