Content Developer, Correlation One
Machine Learning Data Associate, German Speaker
Data-driven recruitment, training & diversity platform
Be an early applicant
Data-driven recruitment, training & diversity platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To create equal access to the data-driven jobs of tomorrow.
Role
Who you are
- This role is ideal for a native German writer who understands (or can quickly learn) modern annotation tasks (e.g., text classification, NER, span annotation, safety/toxicity, dialogue evaluation) and can translate complex operational requirements into clear, engaging lessons
- Native German speaker with exceptional writing and editing skills (C2-level quality)
- 1+ years of experience in instructional content development, curriculum writing, technical writing, or professional training
- Demonstrated ability to teach or explain language concepts clearly (grammar, tone, concision) to adult learners
- Familiarity with machine learning data annotation / labeling (text classification, NER, span annotation, safety/toxicity, dialogue evaluation) or closely related AI operations work
- Ability to write clear rationales and structured responses using precise, non-subjective language
- Comfortable collaborating in English for project alignment (German is required for deliverables)
- Organized, deadline-reliable, and comfortable working in a remote, fast-moving environment
- Nice to have: Experience creating content for AI/ML workforce training programs; Experience with annotation tools or workflows; Experience using AI writing tools responsibly with strong quality control
What the job involves
- This is a part-time contract position. The contract is expected to run ~2–4 months, with an anticipated workload of ~10–15 hours per week (may vary based on program needs and consultant capacity)
- The German-Language Instructional Content Developer will create high-quality training materials in German for a module on writing for labeling workflows in machine learning data annotation
- The content must model excellent annotation writing: clear rationales, precise language, concise comments, and structured responses. You will collaborate with our internal program team to produce session plans, learning activities, examples, and assessments aligned to defined outcomes
- Develop German-language lessons and instructional materials for Module 3 – Writing for Labeling (5 sessions), including:
- Text analysis and dialogue evaluation (quality/helpfulness/safety)
- Grammar + sentence structure for annotation writing
- Sentence precision (conciseness, tone, active vs. passive voice, avoiding hedging)
- Prompt understanding and structured response writing
- Writing workshop materials (drills, feedback guidance, revision activities)
- Produce complete content packages per session (as applicable):
- Facilitator guide, Learner materials, “Strong vs. weak” examples, Rubrics / evaluation criteria, and Short knowledge checks or assessments
- Ensure content is rule-based and audit-ready, anchoring decisions to instructions/SOPs and modeling how to flag ambiguity appropriately (escalation rather than guessing)
- Review and iterate on content based on internal feedback, peer review, and pilot findings
- Participate in weekly and ad hoc meetings with the program team to align on learning objectives, standards, and delivery constraints
- (If needed) Support content deployment into our learning platform (training provided)
Our take
The data science and AI sectors are experiencing rapid innovation, and this can make it difficult for businesses to future-proof their data engineering teams. Furthermore, scaling a data team also presents challenges as it can be difficult to find data scientist candidates that meet qualification and diversity standards.
Correlation One provides a recruitment platform for hiring, training and diversifying data scientist teams. It includes tools for targeted recruitment, assessing candidate data literacy, and identifying underrepresented staffing demographics. It also vets candidates for graduating leading courses, diversity programs, dataphons and competitions.
Whilst diversity-focused recruitment platforms will present competition for Correlation One, its unique all-in-one approach helps it stand out. The company claims that it can help its clients future-proof their teams against the rapid growth of data-driven AI, whilst empowering them to optimize staff quality, help underrepresented communities and meet diversity regulations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
67% employee growth in 12 months
Company
Funding (1 round)
May 2016
$0.5m
SEED
Total funding: $0.5m
Company benefits
- Medical, dental, vision insurance coverage & OneMedical membership for employees and family members
- Retirement plan (401K)
- 15 days of Paid Time Off (PTO) per year (increases with tenure)
- 9 company-paid US holidays
- Official company-wide holiday for the last week of the calendar year (on top of regular PTO)
- Access to free data skills training through our programs
- Be part of a company culture that empowers individuals and embraces diversity through its core mission
Company HQ
Midtown West, New York, NY
Leadership
Shamsudeen Mustafa
(Co-Founder & Co-CEO)Co-president of the Board of Directors for Microfinance Club of New York from 2008 to 2014. Experience as Director of Operations and Programs for TruFund Financial Services from 2011 to 2014.
Rasheed Sabar
(Co-Founder & Co-CEO)Head of Quantitative Strategies for Ellington Management Group from 2005 to 2018.
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