Sanas is revolutionizing the way we communicate with the world's first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Our initial deployment is laser-focused on elevating the standards of customer experience centers. Testimonials from our partners reveal staggering double-digit improvements in mission-critical KPIs, coupled with boosts in CSAT and NPS. More than just a tool, our technology champions a bias-free workspace. This not only fosters a positive work environment but has also been instrumental in reducing employee attrition and curbing training expenditures.
Sanas is a 100+ strong team, established in 2020. In this short span, we've successfully secured over $50 million in funding. Our innovation have been supported by the industry's leading investors, including Insight Partners, Google Ventures, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
Sanas is seeking a detail-oriented and self-motivated individual to join our team as a Data QA. In this role, you will be responsible for evaluating, labeling and annotating speech data, handling data annotation requests from stakeholders in close collaboration with other ML-DLs, revisiting annotation guidelines for different use-cases and tracking and reporting individual and group quality metrics on a regular cadence. You will work closely with the Lead ML-DLs, Linguists, Scientists and Engineers in the team to provide high-quality labeled data for training and testing Sanas speech models.
Key Responsibilities:
- Evaluate models through Model Card and AB evaluation
- QA App for model issues
- Evaluate models on challenge/regression sets
- Evaluate automated metrics through perceptual evaluations
Basic Qualifications:
- A bachelor's degree in Linguistics or a related fieldNative or near-native fluency in English with an understanding of accentual nuances
- Strong attention to detail and ability to maintain focus and interest for extended periods while doing monotonous process-based tasks on a daily basis
- Excellent listening, comprehension, writing and presentation skills
- Ability to follow guidelines with utmost care and complete time bound tasks with efficiency
- Comfortable working with technology and learning new tools and software
- Track and report quality metrics, meeting all key performance indicators (KPIs) and service level agreements (SLAs)
Preferred qualifications:
- A master's degree in linguistics
- Demonstrated experience of handling multiple priorities simultaneously
- Previous experience in working with speech data
