Based on my prior knowledge and analysis, here is the dictionary with the relationship between the feature "job" and the task "Does this client subscribe to a term deposit?".

```json
{
    "no": ["management", "technician", "entrepreneur", "blue-collar", "unknown", "admin.", "services", "self-employed", "unemployed"],
    "yes": ["retired", "housemaid", "student"]
}
```

The "no" list includes job categories that are commonly associated with not subscribing to a term deposit, such as management, technician, entrepreneur, blue-collar, unknown, admin, services, self-employed, and unemployed.

On the other hand, the "yes" list includes job categories that may have a higher likelihood of subscribing to a term deposit, such as retired, housemaid, and student.

Note: For this analysis, I excluded job categories that are hard to predict or do not have sufficient data to determine their relationship with the target variable.