Location: Fully Remote
About the Opportunity:
We are looking for a Data Quality and Labeling Specialist to join our machine learning team and play a critical role in acquiring and ensuring the accuracy, reliability, and integrity of datasets used to train our AI systems.
From your first day, you will make a valuable — and valued — contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to delight millions of consumers around the world while gaining meaningful experience across a variety of disciplines.
Duties and Responsibilities:
- Produce high-quality annotations for our AI, ensuring strict adherence to guidelines.
- Contribute to the development and implementation of data labeling quality assurance processes and procedures.
- Review and audit labeled data to assess accuracy and overall quality.
- Conduct regular quality assessments and generate reports for AI models running in production.
- Collaborate closely with project managers and AI scientists and engineers to align with project goals.
- Attend meetings to discuss and refine guidelines and best practices.
- Emphasize teamwork and effective collaboration.
Skills and Qualifications:
- Strong reading comprehension skills and ability to interpret various types of content accurately.
- Strong critical thinking skills and ability to make sound judgments when dealing with complex datasets and labeling tasks.
- Previous data labeling or quality assurance experience will be considered favorably.
- Attention to detail and meticulous approach
- Independent and collaborative work style
- Effective communication and interpersonal skills
The following experience is a plus:
- Experience in the news domain (fact checking, detecting misinformation etc.) and knowledge of journalistic principles highly desired.
- Background or Interest in Political Science, Journalism, Artificial Intelligence (AI), Machine Learning (ML), Linguistics, or related domains will be advantageous.
- A background or keen interest in fields like Ethical AI, Fairness, Transparency, Explainability, Privacy, and related domains is advantageous
About the Company:
Seekr is a privately held artificial intelligence company that identifies, rates, and generates reliable content at scale. Seekr's trusted and responsible AI platform comprehensively and uniformly evaluates each piece of content individually against objective, transparent, and explainable standards. Seekr is committed to building a web that people can trust.
Our environment is fast paced, requiring the ability to work autonomously, and hands on from day one, with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills. The right mix of organizational and communication skills will be the key to success. Attention to detail and a proven ability to manage priorities are also essential. We are looking for people ready to lead by example, be selfless in your leadership across teams, collaborate with your peers, and partner with colleagues and external partners.
Company Benefits:
- Working with a smart and talented team to solve the big misinformation problems in news we currently face
- Exciting and cutting-edge technologies at scale
- 100% remote position - work from where you like
- Highly competitive salary
- Company investment in training, certifications, and your professional development
- Company Bonus Plan
- Employee Equity Program
- 401k Retirement plan with matching
- Medical, Dental and Vision Insurance for you and your family
- Life Insurance / Disability
- Unlimited PTO
- 13 Paid Holidays
- Employee Assistance Program
Top Skills
What We Do
Seekr Technologies Inc. (“Seekr”) is an Artificial General Intelligence company that develops and offers ethical AI solutions, employing large language models to identify, evaluate, summarize, and generate reliable content at scale.
Leveraging its proprietary Principle-Aligned AI technology, vast language and vision models, and an independent web-scale search engine, Seekr enables users to build, manage, and deploy grounded, trustworthy, and transparent LLMs, empowering users to discover, create, and trust a world of content
