Who is recruiting from scratch:
Recruiting from scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companiesOur team is 100% remote and we work with teams across the united states to help them hireWe work with companies funded by the best investors including sequoia capital, lightspeed ventures, tiger global management, a16z, accel, dfj, and more.
If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.
Our client
Data protection goes beyond borders, beyond organizations, and beyond individual teams.
Believing that the global data protection and privacy environments have been far more complex than they should be, our client is reimagining what data protection means in a globalized, technology-driven world.
Now, more than ever, international organizations and data protection professionals need to access data and complex information quickly, conveniently, and in a simplified way.
They are shifting the entire landscape of data protection technology through automation and machine learning.
Role overview
Relyance ai is seeking a quality assurance (qa) and data labeling specialist to help us execute our one-stop privacy platform at the highest levelIn this role, you will partner with machine learning (ml) engineers, legal experts, and external vendors to enforce the highest quality in customer-facing predictions of ml models and curate and deliver high-quality labeled data to train these modelsBy developing and improving qa and labeling workflows, you will play a central role in fostering the culture of high quality and operational efficiency necessary to drive 5-star customer experiencesTo succeed in this role, you will have a strong attention to detail and an analytical mindset.
Responsibilities:
Perform qa of customer-facing content in the relyance ai application (predictions of machine learning models in particular), find patterns in errors, and report on your findings
Collaborate with external vendors, machine learning engineers, and legal experts to curate, qa, and deliver high-quality labeled data
Develop and improve qa and data labeling workflows to drive operational efficiency
Establish and improve metrics collection and reporting
You are a good fit if you have:
A bachelor’s degree
Strong attention to detail
Strong project management skills
An analytical mindset and an ability to find patterns
Excellent written and verbal communication skills
A strong sense of ownership, urgency, and drive
An ability to handle ambiguity and changing priorities
Experience in a qa role (preferred)
Experience working as a paralegal (preferred)
Experience labeling ml data sets (preferred)
Experience writing or editing content for a web product (preferred)
Basic knowledge of python or other programming languages (preferred)
