Job Description
Job description
Join Forage AI as a Data Specialist -Technical QA. If you’re a detail-oriented, tech-savvy professional who loves working with data, then this may be the right role for you! You’ll collaborate with our talented team of engineers who are working at the bleeding edge of data science and data automation.
Responsibilities:
Our technical data specialists play an integral role in ensuring that our clients consistently receive
high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the
end-to-end completion of the 'Extraction-QA-Feedback-Delivery’ process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do:
● Extract, QC, audit, and deliver completed and approved datasets meeting predetermined
deadlines with a goal of complete accuracy.
● Research and troubleshoot issues associated with data and/or tools provided.
● Catch and report bugs by highlighting trends and exceptions that require fixes.
● Suggest process improvement ideas that will bring efficiency and structure to workflows.
● Implement automation solutions to make our QA processes more robust and efficient.
● Work closely with our team of developers to manage ETAs and deliverables
● Assist our AI and RPA models by manually parsing data for delivery or process automation.
● Conduct domain-specific preliminary research for building subject matter expertise
● Own end-to-end operations process for your daily project deliverables.
● Respond to client inquiries related to ongoing projects.
● Be a culture carrier and live by all of our core values.
Requirements:
● Must have at least a bachelor’s degree in any field.
● Must have worked on Excel / Google Sheets for at least 1 year.
● Familiarity with XPath, SQL, or any query/coding language would be a plus.
● Excellent attention to detail and proven ability to perform under pressure.
● A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with
data.
● An open-minded, motivated self-starter with a positive approach to problem-solving.
● An active listener who can effectively translate instructions into action.
Other Infrastructure Requirements:
Since this is a completely work-from-home position, you will also require the following -
● High-speed internet connectivity for video calls and efficient work.
● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM)
● Dedicated workspace (at home) for uninterrupted and efficient work.
● Headphones with clear audio quality.
● Stable power connection and backups in case of internet/power failure.
Additional Information:
● While we do have separate teams for AI & ML, this job does not guarantee an organic segue
into these roles.
● This is not an opportunity to develop a career solely in data visualization.
Join Forage AI as a Data Specialist -Technical QA. If you’re a detail-oriented, tech-savvy professional who loves working with data, then this may be the right role for you! You’ll collaborate with our talented team of engineers who are working at the bleeding edge of data science and data automation.
Responsibilities:
Our technical data specialists play an integral role in ensuring that our clients consistently receive
high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the
end-to-end completion of the 'Extraction-QA-Feedback-Delivery’ process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do:
● Extract, QC, audit, and deliver completed and approved datasets meeting predetermined
deadlines with a goal of complete accuracy.
● Research and troubleshoot issues associated with data and/or tools provided.
● Catch and report bugs by highlighting trends and exceptions that require fixes.
● Suggest process improvement ideas that will bring efficiency and structure to workflows.
● Implement automation solutions to make our QA processes more robust and efficient.
● Work closely with our team of developers to manage ETAs and deliverables
● Assist our AI and RPA models by manually parsing data for delivery or process automation.
● Conduct domain-specific preliminary research for building subject matter expertise
● Own end-to-end operations process for your daily project deliverables.
● Respond to client inquiries related to ongoing projects.
● Be a culture carrier and live by all of our core values.
Requirements:
● Must have at least a bachelor’s degree in any field.
● Must have worked on Excel / Google Sheets for at least 1 year.
● Familiarity with XPath, SQL, or any query/coding language would be a plus.
● Excellent attention to detail and proven ability to perform under pressure.
● A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with
data.
● An open-minded, motivated self-starter with a positive approach to problem-solving.
● An active listener who can effectively translate instructions into action.
Other Infrastructure Requirements:
Since this is a completely work-from-home position, you will also require the following -
● High-speed internet connectivity for video calls and efficient work.
● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM)
● Dedicated workspace (at home) for uninterrupted and efficient work.
● Headphones with clear audio quality.
● Stable power connection and backups in case of internet/power failure.
Additional Information:
● While we do have separate teams for AI & ML, this job does not guarantee an organic segue
into these roles.
● This is not an opportunity to develop a career solely in data visualization.
💡 Quick Summary
Seeking a career-building opportunity? The Data Specialist position is now open for candidates interested in the Data Entry Jobs sector. This role in Alwar offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.