Amazon.com Services LLC
Operations, IT, Support Engineering, Machine Learning Data Operatio, alexa and amazon devices
DataCollectionSpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately”
Industry & Context.
Addressing issues; Addressing problems
Reliable transportation
What They're Looking For.
Must Have
Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced environment, Comfortable working in a highly collaborative environment, Comfortable working in a dynamic work environment, Practical knowledge of machine learning data processing needs, Practical knowledge of machine learning data trade-offs, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools, Experience in natural data collection environments, Experience in simulated data collection environments, Experience with real-world field collection, Experience with lab-based scenarios, Experience with emulated scenarios, Experience operating data collection hardware, Experience operating data collection software tools, Experience troubleshooting data collection hardware, Experience troubleshooting data collection software tools, Familiarity with command-line interfaces, Familiarity with basic system configuration, Attention to detail, Ability to maintain accurate records, Ability to maintain documentation, Ability to work independently, Ability to work collaboratively, Reliable transportation
Nice to Have
Bachelor's degree or equivalent, Experience using Quip, Experience using Salesforce, End-to-end experience with data collections, Hands-on experience with data collections, Experience recruiting users, Experience moderating users, Experience reporting on data collections, Experience moderating a 1:1 session independently, Experience moderating sessions with users of different age, Experience moderating sessions with users of different demographics, Consumer electronic research experience
What You'll Do.
Execute collection procedure accurately
Document needed information associated to data
Contribute to improvements in data collection projects
Identify issues in tools
Suggest enhancements to tools
Understand changes to collection protocol
Operate data collection hardware
Troubleshoot data collection hardware
Operate data collection software tools
Troubleshoot data collection software tools
How You'll Work.
Team & Collaboration
Highly collaborative environment; Work independently; Work collaboratively
Communication Scope
Excellent communication
Full Job Description
Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. They should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Experience in natural and/or simulated data collection environments, including real-world field collection and lab-based or emulated scenarios - Experience operating and troubleshooting data collection hardware and software tools - Familiarity with command-line interfaces and basic system configuration (e.g., Ubuntu/Linux environments) - Strong attention to detail and ability to maintain accurate records and documentation - Ability to work independently and collaboratively in a fast-paced, operationally driven environment - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience
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