Hyperscience is hiring a
Data Services Engineer

Summary

The job is for a Data Services Engineer at Hyperscience, a market leader in hyperautomation and AI infrastructure software. The role involves building high-performance Machine Learning models, handling data annotation projects, collaborating with the team, and providing feedback to peers and other teams.

Requirements

• Previous experience in working with software, customer service, or a related field is required
• Bachelor's degree/ongoing studies in Information Technology, Business Administration, Economics, or related field and/or relevant experience in a role working with customer data, project management or software
• Basic proficiency in Microsoft Excel or G-Sheets
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Fluency in English is required, knowledge of any other language would be beneficial
• Excellent verbal and written communication skills, with the ability to articulate complex technical information in a clear and concise manner to a non-technical audience
• Ability to work cooperatively with others under the pressure of deadlines and competing demands
• Ability to quickly learn and develop competency in new software tools and user interfaces
• A positive attitude and a genuine desire to help others

Responsibilities

• Builds solid understanding of the Hyperscience software product
• Independently handles data annotation projects, dealing with a variety of document types and data
• Builds expertise in different industry documentation use cases
• Identifies issues in data annotation guidelines and collaborates with the team to resolve them
• Participates in the continuous improvement and creation of annotation processes and guidelines
• Maintains high standards of data quality, by reviewing own work, and other colleagues’ work; by performing Quality Assurance tasks and dataset reviews
• Collaborates well with team members and works as part of a team
• Assists in mentoring Associate Data Service Engineers on annotation techniques and project requirements
• Actively participates in discussions, brainstorming sessions, and cross-departmental collaboration
• Provides monthly and quarterly updates to peers, Product, Design and Engineering teams with product feedback, bugs and improvement suggestions, resulting from using the Hyperscience Platform
• Performs beta testing on new product features/functionalities, as needed
• Works closely with Technical Services teams, Implementation team and customers to build and execute effective implementation project plans for new implementations and complex new use cases
• Consults and updates customers/stakeholders regularly, to fully understand their needs when building a Machine Learning model solution for a client Use Case
• Monitors project timelines and ensures success criteria are met when building client deliverables

Benefits

• Work from home flexibility
• Up to 4 months of fully paid parental leave used within 3 years of your child’s birth
• 20 days of paid leave minimum annually with an additional unlimited amount to help nurture work-life symbiosis
• A great office, with an excellent location
• A sports card, covering various options for sport
• Additional health insurance package, including extensive medical, dental & vision care
• Truly competitive salary
• Stock options
• Referral bonus