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Abaka AI

AI data lifecycle and annotation platform

AI Content Lead

Social Media Strategy & ManagementConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • Deep understanding of the AI, large language model, and data space, including how models are built, evaluated, and improved.
  • Excellent copywriting skills and ability to produce compelling content across various channels.
  • Basic understanding of social media platforms and analytics tools.
  • Ability to create AI workflows and integrate tools such as Claude Cowork, Codex, and AI agents into daily work.
  • Fluency or native-level proficiency in English.

Responsibilities

  • Create content on AI- and data-related topics, including X threads, LinkedIn carousels, and blog articles, with support from an in-house designer.
  • Develop and execute social media strategies for X, LinkedIn, and YouTube.
  • Schedule posts, maintain social media calendars, and monitor social media channels.
  • Track and report social media performance and engagement metrics.
  • Engage with the community and key opinion leaders by replying to comments on social media channels.
  • Monitor technology and AI trends and create timely content about trending topics.
  • Create content for founders’ personal brands.
  • Collaborate with other teams to understand their needs and develop communication initiatives that support their goals.

Desired Qualifications

  • Marketing experience.
  • A keen eye for aesthetics.
  • At least 1 year of experience in social media or marketing.
  • Experience with community management and community engagement on social media platforms.
  • Experience building social media channels from scratch.
  • Experience with LinkedIn and X paid advertising.
  • Experience with search engine optimization and answer engine optimization.
  • Experience working in the AI data space.
  • A strong personal brand on social media.

About the Company

Abaka AI

AI data lifecycle and annotation platform

Abaka AI helps companies build AI by handling data and infrastructure for large-scale AI systems. It offers end-to-end data processing across the AI data lifecycle, including data collection, cleaning, annotation, training support, and model evaluation for multimodal data. Its Abaka Forge Platform uses AI-driven pre-labeling and automation, plus a network of over one million annotators and multi-tier verification to ensure quality, and it also provides embedded data professionals to support client workflows. The company aims to deliver scalable, well-labeled training data for models like large language models and other AI systems, serving sectors such as automotive AI, generative AI, and embodied AI.

Company size
201-500
Company stage
Early VC
Total funding
$8M
Headquarters
Palo Alto, CA
Founded
2019

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