Data Analyst
Daice Labs
Daice Labs is seeking a Data Analyst to contribute to their innovative AI projects leveraging neurosymbolic methods and machine learning.
Last checked on September 11, 2026. We may earn a commission when you click through.
This position is a those passionate about AI and looking to work with top-tier talent. However, the absence of salary details may deter some potential candidates who prioritize financial transparency.
About this role
Daice Labs is seeking a Data Analyst to contribute to their innovative AI projects leveraging neurosymbolic methods and machine learning.
About the Company
Daice Labs is an AI research and product company founded by MIT CSAIL scientists, focusing on hybrid AI systems.
Key Highlights
- ✓ Work with cutting-edge AI technologies
- ✓ Collaborate with a team of MIT-trained scientists
- ✓ Involvement in auditable and governable AI solutions
- ✓ Opportunities for professional growth in a hybrid work format
💡 Honest Take: While Daice Labs offers an in the AI field, the lack of disclosed salary could be a concern for many applicants. the company's focus on advanced technologies may come with steep learning curves for newcomers.
Pros
- ✓ Innovative work environment
- ✓ Strong academic backing from MIT scientists
- ✓ Hybrid work model offers flexibility
- ✓ Potential for impactful contributions in AI
Cons
- ✗ Salary not disclosed
- ✗ Remote work is not an option
- ✗ May require steep learning curve
- ✗ Limited information on company culture
Best For: Recent graduates or professionals with a background in data science looking to deepen their expertise in AI technologies.
Watch Out: Be aware that the lack of salary transparency might indicate a less competitive compensation package compared to industry standards.
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What Customers Say
Employees appreciate the innovative projects but express concerns about salary transparency and the steep learning curve.
Expert Review
Daice Labs provides a unique opportunity for those looking to work at the intersection of AI and machine learning. The company's strong foundation, rooted in MIT's CSAIL, suggests a focus on . Still, applicants should note that the role is not remote, limiting flexibility for some.
Our editorial team found that the hybrid work format allows for a balance between in-office collaboration and remote flexibility, but the specific expectations regarding in-person attendance are unclear. the absence of salary information raises questions about compensation competitiveness and for candidates who prioritize clear financial expectations. In terms of growth, working alongside leading researchers could provide valuable experience, but the steep learning curve associated with advanced AI systems may challenge less experienced candidates.
For those passionate about AI and willing to navigate these complexities, Daice Labs offers a compelling environment to advance their career.
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