About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. Our platform is trusted by over 4,000 enterprise customers, including a majority of the S&P 500.
Founded in 2011, AlphaSense is headquartered in New York City with over 1,300 people across the globe and offices in the U.S., U.K., Finland, India, and Singapore. For more information, please visit www.alpha-sense.com.
We seek a data annotator to help make a big leap in the annotation and analysis of data used for AI model training.
The Role
You will join our engineering team of world-class software experts and AI research engineers and be responsible for data annotations, testing of the AlphaSense product and organizing production releases. You will work together with the team to ensure the overall functionality and quality of the assigned module.
Your responsibilities will include:
- Take ownership of organizing and annotating data for training AI models.
- Work with AI research engineers to provide high-quality data annotations.
- Communicate the annotation project progress and timeline to project stakeholders.
- Work with AI research engineers to monitor AI model quality and verify quality issues.
- Provide feedback to optimize the annotation process and tools.
Requirements:
- Bachelor's degree in finance, accounting, or a related field (B.com/M.com/BMS)
- Cleared CFA Level I.
- Basic understanding of financial concepts and data.
- Exceptional oral and written communication skills.
- Strong analytical skills, and attention to detail
- Ability to work independently and as part of a team.
- Proficient in workplace productivity tools such as GSuite and MS Office.
What we offer:
- Playing a part in the story of a fast-growing company
- Competitive compensation package
- Interesting career opportunities and training
- Very highly skilled colleagues
- Lunch and recreational benefits
- Occupational health care
