Data Collection Specialist Coro jobs at Amazon in United States, Bellevue

Key job responsibilities
- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

Key job responsibilities
- Architect and implement sophisticated network infrastructure solutions.
- Lead and actively participate in technical project implementation such as Network stack modernization.
- Provide expert-level resolution for complex technical challenges while maintaining system reliability, including Network outages and performance issues.- Own and manage critical network and system configurations across AU wide.What's On Offer
- Competitive compensation packages including paid comprehensive health insurance.
- Investment in your growth through advanced technical certifications.- Platform to develop others while advancing your technical expertise.
- Access to the most advanced technology and innovation in the field.

- 3+ years of enterprise IT experience with proven technical expertise.
- Comprehensive knowledge of networking technologies (TCP/IP, OSPF, BGP, VLANs).
- Strong background in implementing network security solutions.
- Hands-on Linux systems administration expertise.
- Extensive Windows Server environment experience.
- Practical experience with Cisco enterprise equipment.
- Experience managing mission-critical infrastructure.
- Flexibility for shift work and on-call responsibilities.

In this role, you will be the voice of the builder, with ownership for working alongside Amazon businesses to develop GenAI solutions that deliver their immediate business value and realize the future of customer experience. You will help your customers understand best practices and develop new best-practice patterns as you encounter new problem spaces. With your day to day focus on the builder, you will be expected to provide insights to product, science, and engineering on how customers build with our FM's and how we can improve. You will be empowered to invent on behalf of our customers and advocate for their needs throughout design, build, and launch of next gen FM's.This position has a high level of visibility, so you will need to be able to communicate clearly and compellingly at all levels of the company. Additionally, you will be responsible for measuring business impact by diving deep into metrics and customer inputs. You should have a positive attitude and strong work ethic; you will work fast and smart, and adapt and iterate quickly.Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.- Drive evaluation strategy, metric design, and evaluation data design for real-world use cases

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
- 5+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 3+ year experience working with technologies related to large language models including LLM architectures and model evaluation
- Experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- Experienced in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

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

Key responsibilities of a Data Scientist in CIV Team include:
- Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation
- Leading training and informational sessions on our science and capabilities

- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment

The success of Kuiper depends on the quality, reliability, cost, manufacturability, throughput, and security of the products that you deliver. If you seek a fast-paced, dynamic environment; if you thrive on solving difficult problems where resolutions have high impact; and if you love the challenge of building something from scratch, then this role will be an ideal next career step. To be successful you need to be highly motivated and detail oriented while showing the highest standards of execution.Key job responsibilities
- Driving and developing departmental continuous improvement initiatives and support implementation.
- Operation of environmental test chambers (Thermal cycling, vacuum, HALT/HASS.) Lead process work and review output for quality and adherence to standards and procedures
- Assemble tooling and assist with equipment maintenance.- 4/10s Shift: Sun-Wed 5 am - 3:30 pmCandidates must be 18 years or older with the ability to understand and adhere to all job requirements and safety guidelines.Export Control Requirement:A day in the life

- High school diploma or equivalent
- 3+ years relevant high traceability manufacturing experience (Aerospace / Medical, etc.)
- 3+ years of hands-on work in test lab environment, using basic hand tools
- 3+ years experience in a fast-paced production environment with Flight Hardware
- Minimum 3 years of environmental test experience performing at least one of the following:
Vibration Testing
Shock Testing
Acoustic Testing
Thermal Testing
Thermal Vacuum Testing

- 3+ years prior leadership experience, to include leading teams, projects or people
- Experience bringing teams and processes from development to production
- Able to read, interpret and work from engineering documentation and/ or drawings
- Experience working with FOD, ESD sensitive hardware and clean room requirements
- Ability to rapidly change roles/responsibilities while working in a high-paced, challenging work environment
- Ability to prioritize work in a complex, fast-paced environment
- Proper use and understanding of DMM, torque wrenches, calipers, and other type of measuring devices.
- Experience installing instrumentation such as accelerometers, thermocouples etc.
- Understanding of 5S and lean principles.Additional Requirements:
- Willing to work all shifts, overtime and weekends as needed. Estimated shift time: Sun-Wed 5:00AM-3:30PM. Shift will vary, depending on program needs
- Standing for long periods of time, climbing up and down ladders, bending, grasping, sitting, pulling, pushing, stooping, and stretching may be required to perform the functions of this position
- Willing to move between locations depending on program needs
- Able to lift up to 25lbs. unassisted

Key job responsibilities
• Build sophisticated machine learning models and production pipelines to analyze complex logistics data
• Develop advanced AI solutions using Python, AWS tools, and emerging technologies like Large Language Models
• Synthesize information from diverse data sources to generate meaningful, actionable business insights
• Collaborate with cross-functional teams to translate complex technical findings into strategic recommendations
• Design and implement optimization strategies that enhance network performance and operational efficiency
A day in the life
As a Data Scientist in our R2L team, you'll immerse yourself in intricate data ecosystems, uncovering hidden patterns and opportunities that can revolutionize package delivery. Your daily work will involve exploring massive datasets, developing innovative analytical approaches, building production pipelines and transforming raw information into strategic intelligence.

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- Strong background in data extraction, analysis, and communication
- Expertise in AWS tools and AI-focused technologies

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience as a leader and mentor on a data science team
- Experience designing, building and managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience working with scientists, economists, software developers, or product managers
- Experience working with data engineers and business intelligence engineers collaboratively

Key job responsibilitiesDesign and deliver modern, flexible, scalable solutions to integrate data from a variety of sources and systems, increasing forecast accuracy over time
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

- 4+ years of data scientist experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience developing forecasting methodologies

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience managing data pipelines
- Experience working with scientists, economists, software developers, or product managers
- 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
- Hands-on experience in building machine learning or optimization models in a business environment using tools such as AWS SageMaker