The World’s most sophisticated AI and machine learning systems are only as good as the data that drives them. They require high quality inputs and must be accurate and highly detailed. Identifying and curating the right data is an essential component of developing effective software automation systems.
At Enabled Intelligence we respect and celebrate individuals from all walks of life. Our diverse backgrounds, cultures, experiences, and way of thinking make us stronger and result in the best teams, innovation and end results for our clients. We are extremely committed to an inclusive, integrated, and welcoming environment where everyone can thrive and grow.
We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public missions and government services, including national security, agriculture, economic development, education, public health, and transportation.
Rating Reviews
Rating is calculated based on
3
reviews and is evolving.
Pros: During my time at Enabled Intelligence, I gained valuable hands-on experience in data science and AI model development. The St. Louis office environment was generally collaborative, and I appreciated the exposure to cutting-edge projects in the technology and analytics space. It's a decent place to build foundational skills in a growing industry.
Cons: The main drawbacks were around compensation not always keeping pace with industry standards for tech roles, and a somewhat opaque process for career advancement. While there are chances for growth, understanding the specific criteria and timelines for promotion or salary increases could be more transparent for employees seeking long-term career stability.
Advice to Management: Consider formalizing career progression frameworks and reviewing compensation benchmarks regularly to ensure competitiveness within the AI and tech industry. Clearer communication channels regarding advancement opportunities would be beneficial.
Show more
Pros: The main pro is the work flexibility; I could mostly set my own hours as a remote AI training data specialist. It's great for folks needing to balance personal stuff with data labeling tasks for machine learning projects.
Cons: Sometimes the project deadlines are really tight, making it tough to truly use that flexibility. It can feel like crunch time a lot, which impacts my work-life balance.
Advice to Management: Try to manage project timelines better to reduce last-minute rushes. More predictable workloads would really help the team out.
Show more
Pros: Working remote as a Data Annotator was really convenient. It's a solid place to get your feet wet in the AI data labeling industry, especially if you're new. You learn a lot about different types of machine learning datasets.
Cons: Career growth for data annotators is pretty limited, though. There aren't many clear paths to move up to more senior AI training specialist roles. The tasks can get super repetitive after a while, and the pay doesn't really scale.
Advice to Management: Try to create more defined career paths for Data Annotators. Investing in internal training for more complex AI projects would really help retain talent.
Show more
What's the dress code like for remote meetings at Enabled Intelligence, Inc.?
For virtual meetings at Enabled Intelligence, Inc., a tech company in the AI sector, business casual is generally fine, so I usually wear a nice top or button-down shirt, just like for any other remote role. It’s all about looking professional on camera for client interactions or team syncs.
What is the work from home policy like at Enabled Intelligence, Inc. for their data scientists?
Enabled Intelligence, Inc. offers a hybrid work model, allowing data scientists to work remotely up to two days a week. This policy aims to balance in-office collaboration with the flexibility that many tech professionals in the AI industry seek.
What is the typical working culture like at Enabled Intelligence, Inc. for data scientists in the AI industry?
Enabled Intelligence fosters a collaborative and fast-paced environment where data scientists are encouraged to innovate. The culture emphasizes continuous learning and problem-solving, with team members often working closely together on complex AI challenges.
US
