Data Labeling Specialist Internship
Strider is revolutionizing the way companies, universities, research institutions, and government agencies protect their innovation and compete in a new era of global strategic competition. Our trailblazing technology and intelligence solutions enable clients to proactively identify, manage, and respond to nation-state directed IP theft and supply chain vulnerabilities.
The purpose of Strider is to protect the ideals and innovations of the free world. If you’re ready to be part of an elite team tackling some of the most pressing security and technology challenges, let’s talk.
Job Description:
As a Data Labeling Specialist Intern, you will play a crucial role in ensuring the accuracy and quality of our data sets. Your primary responsibility will be to label and annotate data in your language of expertise to support our machine learning and AI projects. We are seeking professionals with proficiency in one or more of the following languages: Russian, Farsi, Mandarin Chinese, or Japanese.
What You Will Do:
- Accurately label and annotate text, images, audio, and video data.
- Ensure the accuracy and consistency of labeled data by following established guidelines and protocols.
- Organize and manage large datasets to maintain data integrity and usability.
- Work closely with our product, data science, and engineering teams to understand project requirements and deliver high-quality labeled data.
- Provide regular updates on progress and any challenges encountered during the labeling process.
What You Will Need To Be Successful:
- Strong attention to detail and ability to consistently produce accurate work.
- Good written and verbal communication skills in English and your language of expertise.
- Native or near-native proficiency in Russian, Farsi, Mandarin Chinese, or Japanese.
- Basic computer skills and familiarity with data annotation tools is a plus.
- Ability to work effectively both independently and as part of a team.
- High school diploma or equivalent. Additional coursework or experience in linguistics, computer science, or a related field is a plus but not required.
Why Join This Team:
- We are geo-distributed and deeply respect-focused work. Wednesdays are distraction-free days and Fridays tend to be the same. Getting work done matters, not meetings and status updates.
- Most of the data and tools we need to succeed likely don’t exist yet. You are empowered to dream big, think outside the box, and generally explore new territory.
- You’ll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career.
- And finally, we revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole.
Strider provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Strider complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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