Manager Data Management

🚀We’re Hiring – Data Manager

📍 Location – Bnei Brak, BSR 2

Join our growing team at SkillReal and play a key role in managing and optimizing data processes that power cutting-edge AI solutions.

We're looking for a detail-oriented, proactive Data Manager who thrives in a fast-paced tech environment.

👍Role Responsibilities:

🔹Manage Data Intake & Quality Control

Oversee incoming data flows, ensuring datasets meet quality standards and align with project requirements. Define and maintain proper train/test splits and ensure data consistency across pipelines.

🔹Lead Annotation Operations

Coordinate day-to-day work with both in-house and outsourced annotation teams. Distribute tasks, manage priorities, monitor progress, and perform quality assurance to ensure high labeling standards.

🔹Cross-Team Alignment (Product & Algorithms)

Collaborate closely with Product and Algorithm (Deep Learning) teams to ensure data requirements are well-defined, feasible, and aligned with model capabilities before annotation begins.

🔹Own Ongoing Data Operations

Handle daily data-related tasks including data cleaning, platform management, dataset organization, and occasional hands-on annotation when needed.

🔹Define Annotation Protocols

Develop clear tagging guidelines and methodologies for new object types. Train annotation teams on protocols and continuously refine processes to improve accuracy and efficiency.

✅ Must-Have Qualifications:

🔹 Academic degree in Computer Science, Engineering, Data Science, or a related field

🔹 **At least 1 year of experience in a similar data/ML/data operations role**

🔹 Strong organizational skills and high attention to detail

🔹 High-level English (written and spoken) – working with global teams

🔹 Strong Python skills (data processing, scripting, automation)

🔹 Solid understanding of ML model training workflows

(Train/Test Split, validation techniques, overfitting/underfitting, model evaluation metrics, etc.)

🔹 Experience working with data pipelines and large datasets

🔹 Independent, fast learner, proactive, and comfortable in a startup environment

⭐ Advantages:

🔹 Hands-on experience in data management or data operations

🔹 Experience with SQL, Pandas, NumPy or similar data tools

🔹 Familiarity with data management / annotation platforms such as:

Databricks, Roboflow, Dataloop, SuperAnnotate

🔹 Experience or interest in image processing / computer vision

🔹 Knowledge of model versioning, QA processes, or LLM-based tools

🔹 Familiarity with Git, Jupyter Notebooks, or similar tools

🔹 Familiarity with CAD formats (e.g., STEP files) and experience working with them across different platforms or tools

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